Fuchs’ Endothelial Corneal Dystrophy evaluation using a high-resolution wavefront sensor

This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs’ Endothelial Corneal Dystrophy (FECD) through qualitative and quantitative analysis using a custom-designed Automatic Guttae Detection Method (AGDM). The ocular phase was mea...

Full description

Saved in:
Bibliographic Details
Published inScientific reports Vol. 14; no. 1; pp. 20369 - 13
Main Authors Belda-Para, Carolina, Velarde-Rodríguez, Gonzalo, Marichal-Hernández, José G., Velasco-Ocaña, Miriam, Trujillo-Sevilla, Juan M., Alejandre-Alba, Nicolas, Rodríguez-Ramos, José M.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 02.09.2024
Nature Publishing Group
Nature Portfolio
Subjects
639/166/985
639/624/1075/1083
639/624/1107/510
639/705/1046
639/705/117
639/766/930/12
639/766/930/2735
692/699/3161
692/699/3161/3163
Aberrometry - instrumentation
Aberrometry - methods
Adult
Aged
Cornea
Corneal dystrophy
Dystrophy
Eye
Female
Fuchs' endothelial corneal dystrophy
Fuchs' Endothelial Dystrophy - diagnosis
Guttae
Humanities and Social Sciences
Humans
Image processing
Machine learning
Male
Middle Aged
multidisciplinary
Ocular aberrations
Science
Science (multidisciplinary)
Sensors
Statistical analysis
Support Vector Machine
WaveFront sensor
Fuchs' endothelial corneal dystrophy
Image processing
Ocular aberrations
Guttae
WaveFront sensor
Machine learning
Online AccessGet full text

Cover

Abstract This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs’ Endothelial Corneal Dystrophy (FECD) through qualitative and quantitative analysis using a custom-designed Automatic Guttae Detection Method (AGDM). The ocular phase was measured using the t · eyede aberrometer and then was processed to obtain its High-Pass Filter Map (HPFM). The subjects were pathological and healthy patients from the Fundación Jiménez-Díaz Hospital (Madrid, Spain). The AGDM was developed and applied in pupils with 3 and 5 mm of diameter. A set of metrics were extracted and evaluated like the Root-Mean-Square error (RMS), Number of guttae, Guttae Area, and Area of Delaunay Triangulation (DT). Finally, a Support Vector Machine (SVM) model was trained to classify between pathological and healthy eyes. Quantitatively, the HPFM reveals a dark spots pattern according to the ophthalmologist’s description of the slit-lamp examination of guttae distribution. There were significant statistical differences in all the metrics when FECD and Healthy groups were compared using the same pupil size; but comparing both pupil sizes for the same group there were significant differences in most of the variables. This sensor is a value tool to objectively diagnose and monitor this pathology through wavefront phase changes.
AbstractList Abstract This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs’ Endothelial Corneal Dystrophy (FECD) through qualitative and quantitative analysis using a custom-designed Automatic Guttae Detection Method (AGDM). The ocular phase was measured using the t $$\cdot$$ · eyede aberrometer and then was processed to obtain its High-Pass Filter Map (HPFM). The subjects were pathological and healthy patients from the Fundación Jiménez-Díaz Hospital (Madrid, Spain). The AGDM was developed and applied in pupils with 3 and 5 mm of diameter. A set of metrics were extracted and evaluated like the Root-Mean-Square error (RMS), Number of guttae, Guttae Area, and Area of Delaunay Triangulation (DT). Finally, a Support Vector Machine (SVM) model was trained to classify between pathological and healthy eyes. Quantitatively, the HPFM reveals a dark spots pattern according to the ophthalmologist’s description of the slit-lamp examination of guttae distribution. There were significant statistical differences in all the metrics when FECD and Healthy groups were compared using the same pupil size; but comparing both pupil sizes for the same group there were significant differences in most of the variables. This sensor is a value tool to objectively diagnose and monitor this pathology through wavefront phase changes.
This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs' Endothelial Corneal Dystrophy (FECD) through qualitative and quantitative analysis using a custom-designed Automatic Guttae Detection Method (AGDM). The ocular phase was measured using the t eyede aberrometer and then was processed to obtain its High-Pass Filter Map (HPFM). The subjects were pathological and healthy patients from the Fundación Jiménez-Díaz Hospital (Madrid, Spain). The AGDM was developed and applied in pupils with 3 and 5 mm of diameter. A set of metrics were extracted and evaluated like the Root-Mean-Square error (RMS), Number of guttae, Guttae Area, and Area of Delaunay Triangulation (DT). Finally, a Support Vector Machine (SVM) model was trained to classify between pathological and healthy eyes. Quantitatively, the HPFM reveals a dark spots pattern according to the ophthalmologist's description of the slit-lamp examination of guttae distribution. There were significant statistical differences in all the metrics when FECD and Healthy groups were compared using the same pupil size; but comparing both pupil sizes for the same group there were significant differences in most of the variables. This sensor is a value tool to objectively diagnose and monitor this pathology through wavefront phase changes.
This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs’ Endothelial Corneal Dystrophy (FECD) through qualitative and quantitative analysis using a custom-designed Automatic Guttae Detection Method (AGDM). The ocular phase was measured using the t·eyede aberrometer and then was processed to obtain its High-Pass Filter Map (HPFM). The subjects were pathological and healthy patients from the Fundación Jiménez-Díaz Hospital (Madrid, Spain). The AGDM was developed and applied in pupils with 3 and 5 mm of diameter. A set of metrics were extracted and evaluated like the Root-Mean-Square error (RMS), Number of guttae, Guttae Area, and Area of Delaunay Triangulation (DT). Finally, a Support Vector Machine (SVM) model was trained to classify between pathological and healthy eyes. Quantitatively, the HPFM reveals a dark spots pattern according to the ophthalmologist’s description of the slit-lamp examination of guttae distribution. There were significant statistical differences in all the metrics when FECD and Healthy groups were compared using the same pupil size; but comparing both pupil sizes for the same group there were significant differences in most of the variables. This sensor is a value tool to objectively diagnose and monitor this pathology through wavefront phase changes.
This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs’ Endothelial Corneal Dystrophy (FECD) through qualitative and quantitative analysis using a custom-designed Automatic Guttae Detection Method (AGDM). The ocular phase was measured using the t · eyede aberrometer and then was processed to obtain its High-Pass Filter Map (HPFM). The subjects were pathological and healthy patients from the Fundación Jiménez-Díaz Hospital (Madrid, Spain). The AGDM was developed and applied in pupils with 3 and 5 mm of diameter. A set of metrics were extracted and evaluated like the Root-Mean-Square error (RMS), Number of guttae, Guttae Area, and Area of Delaunay Triangulation (DT). Finally, a Support Vector Machine (SVM) model was trained to classify between pathological and healthy eyes. Quantitatively, the HPFM reveals a dark spots pattern according to the ophthalmologist’s description of the slit-lamp examination of guttae distribution. There were significant statistical differences in all the metrics when FECD and Healthy groups were compared using the same pupil size; but comparing both pupil sizes for the same group there were significant differences in most of the variables. This sensor is a value tool to objectively diagnose and monitor this pathology through wavefront phase changes.
This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs’ Endothelial Corneal Dystrophy (FECD) through qualitative and quantitative analysis using a custom-designed Automatic Guttae Detection Method (AGDM). The ocular phase was measured using the t \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\cdot$$\end{document} · eyede aberrometer and then was processed to obtain its High-Pass Filter Map (HPFM). The subjects were pathological and healthy patients from the Fundación Jiménez-Díaz Hospital (Madrid, Spain). The AGDM was developed and applied in pupils with 3 and 5 mm of diameter. A set of metrics were extracted and evaluated like the Root-Mean-Square error (RMS), Number of guttae, Guttae Area, and Area of Delaunay Triangulation (DT). Finally, a Support Vector Machine (SVM) model was trained to classify between pathological and healthy eyes. Quantitatively, the HPFM reveals a dark spots pattern according to the ophthalmologist’s description of the slit-lamp examination of guttae distribution. There were significant statistical differences in all the metrics when FECD and Healthy groups were compared using the same pupil size; but comparing both pupil sizes for the same group there were significant differences in most of the variables. This sensor is a value tool to objectively diagnose and monitor this pathology through wavefront phase changes.
This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs' Endothelial Corneal Dystrophy (FECD) through qualitative and quantitative analysis using a custom-designed Automatic Guttae Detection Method (AGDM). The ocular phase was measured using the t · eyede aberrometer and then was processed to obtain its High-Pass Filter Map (HPFM). The subjects were pathological and healthy patients from the Fundación Jiménez-Díaz Hospital (Madrid, Spain). The AGDM was developed and applied in pupils with 3 and 5 mm of diameter. A set of metrics were extracted and evaluated like the Root-Mean-Square error (RMS), Number of guttae, Guttae Area, and Area of Delaunay Triangulation (DT). Finally, a Support Vector Machine (SVM) model was trained to classify between pathological and healthy eyes. Quantitatively, the HPFM reveals a dark spots pattern according to the ophthalmologist's description of the slit-lamp examination of guttae distribution. There were significant statistical differences in all the metrics when FECD and Healthy groups were compared using the same pupil size; but comparing both pupil sizes for the same group there were significant differences in most of the variables. This sensor is a value tool to objectively diagnose and monitor this pathology through wavefront phase changes.This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs' Endothelial Corneal Dystrophy (FECD) through qualitative and quantitative analysis using a custom-designed Automatic Guttae Detection Method (AGDM). The ocular phase was measured using the t · eyede aberrometer and then was processed to obtain its High-Pass Filter Map (HPFM). The subjects were pathological and healthy patients from the Fundación Jiménez-Díaz Hospital (Madrid, Spain). The AGDM was developed and applied in pupils with 3 and 5 mm of diameter. A set of metrics were extracted and evaluated like the Root-Mean-Square error (RMS), Number of guttae, Guttae Area, and Area of Delaunay Triangulation (DT). Finally, a Support Vector Machine (SVM) model was trained to classify between pathological and healthy eyes. Quantitatively, the HPFM reveals a dark spots pattern according to the ophthalmologist's description of the slit-lamp examination of guttae distribution. There were significant statistical differences in all the metrics when FECD and Healthy groups were compared using the same pupil size; but comparing both pupil sizes for the same group there were significant differences in most of the variables. This sensor is a value tool to objectively diagnose and monitor this pathology through wavefront phase changes.
ArticleNumber 20369
Author Belda-Para, Carolina
Alejandre-Alba, Nicolas
Rodríguez-Ramos, José M.
Marichal-Hernández, José G.
Velarde-Rodríguez, Gonzalo
Velasco-Ocaña, Miriam
Trujillo-Sevilla, Juan M.
Author_xml – sequence: 1
  givenname: Carolina
  surname: Belda-Para
  fullname: Belda-Para, Carolina
  organization: Wooptix S.L., R &D Section, ESIT, Industrial Engineering Department, Universidad de La Laguna
– sequence: 2
  givenname: Gonzalo
  surname: Velarde-Rodríguez
  fullname: Velarde-Rodríguez, Gonzalo
  organization: Ophthalmology Department, Hospital Universitario Fundación Jiménez Díaz
– sequence: 3
  givenname: José G.
  surname: Marichal-Hernández
  fullname: Marichal-Hernández, José G.
  email: jmariher@ull.edu.es
  organization: ESIT, Industrial Engineering Department, Universidad de La Laguna
– sequence: 4
  givenname: Miriam
  surname: Velasco-Ocaña
  fullname: Velasco-Ocaña, Miriam
  organization: Wooptix S.L., R &D Section
– sequence: 5
  givenname: Juan M.
  surname: Trujillo-Sevilla
  fullname: Trujillo-Sevilla, Juan M.
  organization: Wooptix S.L., R &D Section
– sequence: 6
  givenname: Nicolas
  surname: Alejandre-Alba
  fullname: Alejandre-Alba, Nicolas
  organization: Ophthalmology Department, Hospital Universitario Fundación Jiménez Díaz
– sequence: 7
  givenname: José M.
  surname: Rodríguez-Ramos
  fullname: Rodríguez-Ramos, José M.
  organization: Wooptix S.L., R &D Section, ESIT, Industrial Engineering Department, Universidad de La Laguna
BackLink https://www.ncbi.nlm.nih.gov/pubmed/39223223$$D View this record in MEDLINE/PubMed
BookMark eNp9kktuFDEQhi0URELIBVigltiwafCj3W2vEBoSiBSJDWzYWH5UP0Y99mB3D5od1-B6nATPdAgJC7wpq-qvz2X7f4pOfPCA0HOCXxPMxJtUES5FiWlVNqQSuKwfoTOKK15SRunJvf0pukhpjfPiVFZEPkGnTNJDhZ2hr1ez7dOvHz-LS-_C1MM46LFYheghx_f7NMWw7fcF7PQ462kIvpjT4LtCF_3Q9WWEFMb5mP-ud9DG4KcigU8hPkOPWz0muLiN5-jL1eXn1cfy5tOH69W7m9JWkk6lAQdWM15rEM5YZ0WrDTAijHaNo6YV3FhSS0mBAJFG1C1ueOs0qWSTL8nO0fXCdUGv1TYOGx33KuhBHRMhdkrHabAjKMDSgNBtLXI3x9pYXlFLmWaMOYZ5Zr1dWNvZbMBZ8FPU4wPow4ofetWFnSKE1UKSOhNe3RJi-DZDmtRmSBbGUXsIc1KMYEwbhmuRpS__ka7DHH1-K8WwlLISnB-AL-6PdDfLnz_MAroIbAwpRWjvJASrg1fU4hWVvaKOXlEHKluaUhb7DuLfs__T9RsyV8PJ
Cites_doi 10.1001/archopht.1978.03910060424004
10.1162/089976698300017197
10.1016/j.ophtha.2015.05.005
10.1097/ico.0000000000002762
10.1117/12.2548595
10.1038/s41598-024-56706-x
10.1016/s0002-9394(14)75011-1
10.4236/jsea.2010.32018
10.1097/ICL.0000000000000868
10.1097/ICO.0000000000002416
10.1016/j.optmat.2023.114087
10.1016/j.ajo.2021.01.018
10.1016/j.ophtha.2012.09.022
10.1371/journal.pone.0207891
10.1007/s40123-022-00637-1
10.1167/iovs.16-21025
10.1016/j.ajo.2020.07.029
10.1186/s40662-020-00209-z
10.1016/0039-6257(93)90099-s
10.1097/01.icl.0000165286.05080.23
10.1007/s40123-023-00684-2
10.1097/ICO.0000000000000656
10.1167/iovs.14-14249
10.1097/OPX.0000000000001157
10.1038/s41598-024-60842-9
10.1038/s41598-021-02653-w
10.1016/S0002-9394(26)90951-3
10.1136/bjo-2023-323297
10.1016/j.exer.2014.10.023
10.1017/CBO9780511801389
10.1038/s43586-022-00184-w
10.1097/00003226-199809000-00006
10.1016/s1542-0124(12)70232-x
10.1016/j.ophtha.2005.12.014
10.1016/j.ophtha.2015.06.019
10.2147/OPTH.S83467
10.1097/00003226-200308000-00005
10.1007/BF01986362
10.1016/j.ajo.2014.04.008
10.1364/JOSAA.19.001390
10.1364/AO.450219
10.1007/bf02295996
10.1117/12.2505764
10.1146/annurev-vision-091718-014852
10.1167/iovs.14-14191
ContentType Journal Article
Copyright The Author(s) 2024
2024. The Author(s).
The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
The Author(s) 2024 2024
Copyright_xml – notice: The Author(s) 2024
– notice: 2024. The Author(s).
– notice: The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: The Author(s) 2024 2024
DBID C6C
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7X7
7XB
88A
88E
88I
8FE
8FH
8FI
8FJ
8FK
ABUWG
AEUYN
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
HCIFZ
K9.
LK8
M0S
M1P
M2P
M7P
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
Q9U
7X8
5PM
DOA
DOI 10.1038/s41598-024-71480-6
DatabaseName Springer Nature : Open Access Journals
CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Health & Medical Collection (ProQuest)
ProQuest Central (purchase pre-March 2016)
Biology Database (Alumni Edition)
Medical Database (Alumni Edition)
Science Database (Alumni Edition)
ProQuest SciTech Collection
ProQuest Natural Science Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central
ProQuest One Sustainability
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Natural Science Collection
ProQuest One
ProQuest Central Korea
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Biological Sciences
ProQuest Health & Medical Collection
Medical Database
Science Database (ProQuest)
Biological Science Database
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central Basic
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Biology Journals (Alumni Edition)
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Health & Medical Research Collection
Biological Science Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Science Journals (Alumni Edition)
ProQuest Biological Science Collection
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest SciTech Collection
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList
MEDLINE
Publicly Available Content Database


MEDLINE - Academic
Database_xml – sequence: 1
  dbid: C6C
  name: SpringerOpen Free (Free internet resource, activated by CARLI)
  url: http://www.springeropen.com/
  sourceTypes: Publisher
– sequence: 2
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 3
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 4
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 5
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 2045-2322
EndPage 13
ExternalDocumentID oai_doaj_org_article_e09be8af68a1450abc542c23a333d305
PMC11368916
39223223
10_1038_s41598_024_71480_6
Genre Journal Article
GrantInformation_xml – fundername: Wooptix S.L.
GroupedDBID 0R~
3V.
4.4
53G
5VS
7X7
88A
88E
88I
8FE
8FH
8FI
8FJ
AAFWJ
AAJSJ
AAKDD
ABDBF
ABUWG
ACGFS
ACSMW
ACUHS
ADBBV
ADRAZ
AENEX
AEUYN
AFKRA
AJTQC
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AOIJS
AZQEC
BAWUL
BBNVY
BCNDV
BENPR
BHPHI
BPHCQ
BVXVI
C6C
CCPQU
DIK
DWQXO
EBD
EBLON
EBS
ESX
FYUFA
GNUQQ
GROUPED_DOAJ
GX1
HCIFZ
HH5
HMCUK
HYE
KQ8
LK8
M0L
M1P
M2P
M48
M7P
M~E
NAO
OK1
PIMPY
PQQKQ
PROAC
PSQYO
RNT
RNTTT
RPM
SNYQT
UKHRP
AASML
AAYXX
AFPKN
CITATION
PHGZM
PHGZT
CGR
CUY
CVF
ECM
EIF
NPM
PJZUB
PPXIY
PQGLB
7XB
8FK
AARCD
K9.
PKEHL
PQEST
PQUKI
Q9U
7X8
5PM
PUEGO
ID FETCH-LOGICAL-c492t-bedeca356ae8dbcdc8fabe318bad7d2bf85bc16992e1e19b86f075fda14972043
IEDL.DBID M48
ISSN 2045-2322
IngestDate Wed Aug 27 01:32:07 EDT 2025
Thu Aug 21 18:35:59 EDT 2025
Fri Jul 11 09:53:18 EDT 2025
Wed Aug 13 11:34:05 EDT 2025
Mon Jul 21 05:58:48 EDT 2025
Tue Jul 01 03:22:53 EDT 2025
Fri Feb 21 02:38:58 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords Fuchs' endothelial corneal dystrophy
Image processing
Ocular aberrations
Guttae
WaveFront sensor
Machine learning
Language English
License 2024. The Author(s).
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c492t-bedeca356ae8dbcdc8fabe318bad7d2bf85bc16992e1e19b86f075fda14972043
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.1038/s41598-024-71480-6
PMID 39223223
PQID 3099948556
PQPubID 2041939
PageCount 13
ParticipantIDs doaj_primary_oai_doaj_org_article_e09be8af68a1450abc542c23a333d305
pubmedcentral_primary_oai_pubmedcentral_nih_gov_11368916
proquest_miscellaneous_3100273068
proquest_journals_3099948556
pubmed_primary_39223223
crossref_primary_10_1038_s41598_024_71480_6
springer_journals_10_1038_s41598_024_71480_6
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2024-09-02
PublicationDateYYYYMMDD 2024-09-02
PublicationDate_xml – month: 09
  year: 2024
  text: 2024-09-02
  day: 02
PublicationDecade 2020
PublicationPlace London
PublicationPlace_xml – name: London
– name: England
PublicationTitle Scientific reports
PublicationTitleAbbrev Sci Rep
PublicationTitleAlternate Sci Rep
PublicationYear 2024
Publisher Nature Publishing Group UK
Nature Publishing Group
Nature Portfolio
Publisher_xml – name: Nature Publishing Group UK
– name: Nature Publishing Group
– name: Nature Portfolio
References Vaitinadapoulé (CR45) 2023
Eghrari (CR15) 2015; 34
Shah, Eghrari, Vanner, O’Brien, Koo (CR47) 2022; 41
CR38
Elhalis, Azizi, Jurkunas (CR3) 2010; 8
CR37
McNemar (CR40) 1947; 12
Cairós (CR31) 2023; 142
Ali, Cho, Srikumaran (CR7) 2023; 12
Vedana, Villarreal, Jun (CR8) 2016; 10
Eleiwa, Elsawy, Ozcan, Abou Shousha (CR49) 2020; 7
Wacker, McLaren, Amin, Baratz, Patel (CR25) 2015; 122
Soh, Peh, Naso, Kocaba, Mehta (CR18) 2021; 221
Fuchs (CR4) 1910; 76
Kirby (CR5) 1925; 54
Mustonen (CR2) 1998; 17
Yang, Cui (CR35) 2010; 03
Dong, Zou, Pan, Wang (CR44) 2004; 40
Fujimoto (CR20) 2014; 55
Patel, Amin, Baratz, Kane, McLaren (CR21) 2014; 55
Greenacre (CR36) 2022; 2
Giasson (CR16) 2005; 31
Belda-Para (CR27) 2024; 14
Gifford (CR6) 1926; 9
CR13
Cristianini, Shawe-Taylor (CR39) 2000
Bonaque-González (CR32) 2020; 11218
Adamis, Filatov, Tripathi, Tripathi (CR1) 1993; 38
Krachmer (CR11) 1978; 96
Hara, Morishige, Chikama, Nishida (CR19) 2003; 22
Verma, Hesser, Arba-Mosquera (CR34) 2017; 58
Velarde-Rodriguez (CR26) 2023; 12
Rainio, Teuho, Klén (CR42) 2024
Zoega (CR14) 2006; 113
Zhang, Patel (CR9) 2015; 130
Kobashi, Kamiya, Shimizu (CR10) 2018; 95
Arora (CR22) 2022; 48
Waldrop, Gillings, Robertson, Petroll, Mootha (CR24) 2020; 39
Repp, Hodge, Baratz, McLaren, Patel (CR12) 2013; 120
Watanabe (CR17) 2015; 122
van Dam, Lane (CR48) 2002; 19
CR29
Bonaque-González (CR33) 2019; 60
Dietterich (CR41) 1998; 10
Iovino (CR46) 2018; 13
Bonaque-González (CR28) 2021; 11
Rosenblum, Stark, Maumenee, Hirst, Maumenee (CR43) 1980; 90
Trujillo-Sevilla, Velasco-Ocaña, Bonaque-González, Belda-Para, Rodríguez-Ramos (CR30) 2022; 61
Elsawy (CR50) 2021; 226
van Dijk (CR23) 2014; 158
G Zoega (71480_CR14) 2006; 113
O Rainio (71480_CR42) 2024
G Vedana (71480_CR8) 2016; 10
D Repp (71480_CR12) 2013; 120
M Greenacre (71480_CR36) 2022; 2
K Wacker (71480_CR25) 2015; 122
J Trujillo-Sevilla (71480_CR30) 2022; 61
S Bonaque-González (71480_CR33) 2019; 60
X Yang (71480_CR35) 2010; 03
R Arora (71480_CR22) 2022; 48
S Bonaque-González (71480_CR32) 2020; 11218
71480_CR38
71480_CR37
Y Soh (71480_CR18) 2021; 221
C Belda-Para (71480_CR27) 2024; 14
W Waldrop (71480_CR24) 2020; 39
E Fuchs (71480_CR4) 1910; 76
P Rosenblum (71480_CR43) 1980; 90
A Elsawy (71480_CR50) 2021; 226
J Krachmer (71480_CR11) 1978; 96
J Zhang (71480_CR9) 2015; 130
71480_CR29
M Ali (71480_CR7) 2023; 12
S Watanabe (71480_CR17) 2015; 122
H Vaitinadapoulé (71480_CR45) 2023
K van Dijk (71480_CR23) 2014; 158
S Patel (71480_CR21) 2014; 55
W Dong (71480_CR44) 2004; 40
S Verma (71480_CR34) 2017; 58
H Elhalis (71480_CR3) 2010; 8
K Shah (71480_CR47) 2022; 41
R Mustonen (71480_CR2) 1998; 17
A Eghrari (71480_CR15) 2015; 34
H Fujimoto (71480_CR20) 2014; 55
S Bonaque-González (71480_CR28) 2021; 11
H Kobashi (71480_CR10) 2018; 95
G Velarde-Rodriguez (71480_CR26) 2023; 12
71480_CR13
C Iovino (71480_CR46) 2018; 13
CJ Giasson (71480_CR16) 2005; 31
D Kirby (71480_CR5) 1925; 54
Q McNemar (71480_CR40) 1947; 12
C Cairós (71480_CR31) 2023; 142
T Dietterich (71480_CR41) 1998; 10
M Hara (71480_CR19) 2003; 22
N Cristianini (71480_CR39) 2000
S Gifford (71480_CR6) 1926; 9
M van Dam (71480_CR48) 2002; 19
A Adamis (71480_CR1) 1993; 38
T Eleiwa (71480_CR49) 2020; 7
References_xml – volume: 96
  start-page: 2036
  year: 1978
  ident: CR11
  article-title: Corneal endothelial dystrophy
  publication-title: Arch. Ophthalmol.
  doi: 10.1001/archopht.1978.03910060424004
– volume: 10
  start-page: 1895
  year: 1998
  end-page: 1923
  ident: CR41
  article-title: Approximate statistical tests for comparing supervised classification learning algorithms
  publication-title: Neural Comput.
  doi: 10.1162/089976698300017197
– volume: 122
  start-page: 1645
  year: 2015
  end-page: 1652
  ident: CR25
  article-title: Corneal high-order aberrations and backscatter in fuchs’ endothelial corneal dystrophy
  publication-title: Ophthalmology
  doi: 10.1016/j.ophtha.2015.05.005
– volume: 41
  start-page: 692
  year: 2022
  end-page: 698
  ident: CR47
  article-title: Scheimpflug corneal densitometry values and severity of guttae in relation to visual acuity in fuchs endothelial corneal dystrophy
  publication-title: Cornea
  doi: 10.1097/ico.0000000000002762
– volume: 11218
  start-page: 117
  year: 2020
  end-page: 123
  ident: CR32
  article-title: New high-resolution wavefront sensing ophthalmic technique for the characterization of ocular optics
  publication-title: Ophthalmic Technol. XXX
  doi: 10.1117/12.2548595
– year: 2024
  ident: CR42
  article-title: Evaluation metrics and statistical tests for machine learning
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-024-56706-x
– volume: 90
  start-page: 455
  year: 1980
  end-page: 462
  ident: CR43
  article-title: Hereditary fuchs’ dystrophy
  publication-title: Am. J. Ophthalmol.
  doi: 10.1016/s0002-9394(14)75011-1
– volume: 03
  start-page: 141
  year: 2010
  end-page: 149
  ident: CR35
  article-title: A novel spatial clustering algorithm based on delaunay triangulation
  publication-title: J. Softw. Eng. Appl.
  doi: 10.4236/jsea.2010.32018
– volume: 40
  start-page: 465
  year: 2004
  end-page: 470
  ident: CR44
  article-title: Morphologic characteristics of cornea in fuchs endothelial dystrophy observed by confocal microscopy
  publication-title: [Zhonghua yan ke za zhi] Chin. J. Ophthalmol.
– volume: 48
  start-page: 242
  year: 2022
  end-page: 249
  ident: CR22
  article-title: Analysis of corneal scheimpflug densitometry and ocular wavefront aberrations post descemet stripping automated endothelial keratoplasty
  publication-title: Eye Contact Lens
  doi: 10.1097/ICL.0000000000000868
– volume: 39
  start-page: 1227
  year: 2020
  end-page: 1234
  ident: CR24
  article-title: Lower corneal haze and aberrations in descemet membrane endothelial keratoplasty versus descemet stripping automated endothelial keratoplasty in fellow eyes for fuchs endothelial corneal dystrophy
  publication-title: Cornea
  doi: 10.1097/ICO.0000000000002416
– ident: CR29
– volume: 142
  year: 2023
  ident: CR31
  article-title: Refractive index estimation in biological tissues by quantitative phase imaging
  publication-title: Opt. Mater.
  doi: 10.1016/j.optmat.2023.114087
– volume: 226
  start-page: 252
  year: 2021
  end-page: 261
  ident: CR50
  article-title: Multidisease deep learning neural network for the diagnosis of corneal diseases
  publication-title: Am. J. Ophthalmol.
  doi: 10.1016/j.ajo.2021.01.018
– volume: 54
  start-page: 588
  year: 1925
  end-page: 91
  ident: CR5
  article-title: Excrescences of the central area of descemet’s membrane
  publication-title: Arch. Ophthalmol.
– volume: 120
  start-page: 687
  year: 2013
  end-page: 694
  ident: CR12
  article-title: Fuchs’ endothelial corneal dystrophy subjective grading versus objective grading based on the central-to-peripheral thickness ratio
  publication-title: Ophthalmology
  doi: 10.1016/j.ophtha.2012.09.022
– volume: 13
  start-page: 1
  year: 2018
  end-page: 12
  ident: CR46
  article-title: Corneal endothelium features in fuchs’ endothelial corneal dystrophy: A preliminary 3d anterior segment optical coherence tomography study
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0207891
– volume: 12
  start-page: 691
  year: 2023
  end-page: 704
  ident: CR7
  article-title: Fuchs dystrophy and cataract: Diagnosis, evaluation and treatment
  publication-title: Ophthalmol. Ther.
  doi: 10.1007/s40123-022-00637-1
– volume: 58
  start-page: 2021
  year: 2017
  end-page: 2037
  ident: CR34
  article-title: Optimum laser beam characteristics for achieving smoother ablations in laser vision correction
  publication-title: Investig. Ophthalmol. Vis. Sci.
  doi: 10.1167/iovs.16-21025
– volume: 221
  start-page: 260
  year: 2021
  end-page: 272
  ident: CR18
  article-title: Automated clinical assessment of corneal guttae in fuchs endothelial corneal dystrophy
  publication-title: Am. J. Ophthalmol.
  doi: 10.1016/j.ajo.2020.07.029
– volume: 60
  start-page: 603
  year: 2019
  end-page: 603
  ident: CR33
  article-title: Extremely high resolution ocular aberrometry up to 2.4 million points
  publication-title: Investig. Ophthalmol. Vis. Sci.
– volume: 7
  start-page: 44
  year: 2020
  ident: CR49
  article-title: Automated diagnosis and staging of fuchs’ endothelial cell corneal dystrophy using deep learning
  publication-title: Eye and Vision
  doi: 10.1186/s40662-020-00209-z
– volume: 38
  start-page: 149
  year: 1993
  end-page: 168
  ident: CR1
  article-title: Fuchs endothelial dystrophy of the cornea
  publication-title: Surv. Ophthalmol.
  doi: 10.1016/0039-6257(93)90099-s
– volume: 31
  start-page: 158
  year: 2005
  end-page: 165
  ident: CR16
  article-title: Morphometry of cells and guttae in subjects with normal or guttate endothelium with a contour detection algorithm
  publication-title: Eye Contact Lens
  doi: 10.1097/01.icl.0000165286.05080.23
– volume: 55
  start-page: 3580
  year: 2014
  end-page: 3580
  ident: CR21
  article-title: Anterior corneal aberrations in relation to severity of fuchs endothelial dystrophy
  publication-title: Investig. Ophthalmol. Vis. Sci.
– volume: 12
  start-page: 1569
  year: 2023
  end-page: 1582
  ident: CR26
  article-title: Ultra-high resolution optical aberrometry in patients with keratoconus: A cross-sectional study
  publication-title: Ophthalmol. Ther.
  doi: 10.1007/s40123-023-00684-2
– volume: 34
  start-page: 1623
  year: 2015
  ident: CR15
  article-title: Retroillumination photography analysis enhances clinical definition of severe fuchs corneal dystrophy
  publication-title: Cornea
  doi: 10.1097/ICO.0000000000000656
– volume: 55
  start-page: 5090
  year: 2014
  end-page: 5098
  ident: CR20
  article-title: Quantitative regional differences in corneal endothelial abnormalities in the central and peripheral zones in fuchs’ endothelial corneal dystrophy
  publication-title: Investig. Ophthalmol. Vis. Sci.
  doi: 10.1167/iovs.14-14249
– volume: 95
  start-page: 21
  year: 2018
  end-page: 26
  ident: CR10
  article-title: Factors influencing visual acuity in fuchs’ endothelial corneal dystrophy
  publication-title: OPTOMETRY VISION SCI.
  doi: 10.1097/OPX.0000000000001157
– volume: 14
  start-page: 9984
  year: 2024
  ident: CR27
  article-title: Comparing the clinical applicability of wavefront phase imaging in keratoconus versus normal eyes
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-024-60842-9
– volume: 11
  start-page: 23334
  year: 2021
  ident: CR28
  article-title: The optics of the human eye at 8.6 m resolution
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-021-02653-w
– volume: 9
  start-page: 81
  year: 1926
  end-page: 85
  ident: CR6
  article-title: Epithelial dystrophy of the cornea and its relation to endothelial dystrophy
  publication-title: Am. J. Ophthalmol.
  doi: 10.1016/S0002-9394(26)90951-3
– year: 2023
  ident: CR45
  article-title: Nanotopography by chromatic confocal microscopy of the endothelium in fuchs endothelial corneal dystrophy, pseudophakic bullous keratopathy and healthy corneas
  publication-title: Br. J. Ophthalmol.
  doi: 10.1136/bjo-2023-323297
– ident: CR37
– volume: 130
  start-page: 97
  year: 2015
  end-page: 105
  ident: CR9
  article-title: The pathophysiology of fuchs’ endothelial dystrophy - a review of molecular and cellular insights
  publication-title: Exp. Eye Res.
  doi: 10.1016/j.exer.2014.10.023
– year: 2000
  ident: CR39
  publication-title: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  doi: 10.1017/CBO9780511801389
– volume: 2
  start-page: 100
  year: 2022
  ident: CR36
  article-title: Principal component analysis
  publication-title: Nat. Rev. Methods Primers
  doi: 10.1038/s43586-022-00184-w
– volume: 17
  start-page: 493
  year: 1998
  end-page: 503
  ident: CR2
  article-title: In vivo confocal microscopy of fuchs’ endothelial dystrophy
  publication-title: Cornea
  doi: 10.1097/00003226-199809000-00006
– volume: 8
  start-page: 173
  year: 2010
  end-page: 184
  ident: CR3
  article-title: Fuchs endothelial corneal dystrophy
  publication-title: Ocul. Surf.
  doi: 10.1016/s1542-0124(12)70232-x
– volume: 113
  start-page: 565
  year: 2006
  end-page: 569
  ident: CR14
  article-title: Prevalence and risk factors for cornea guttata in the reykjavik eye study
  publication-title: Ophthalmology
  doi: 10.1016/j.ophtha.2005.12.014
– volume: 122
  start-page: 2103
  year: 2015
  end-page: 2109
  ident: CR17
  article-title: Relationship between corneal guttae and quality of vision in patients with mild fuchs’ endothelial corneal dystrophy
  publication-title: Ophthalmology
  doi: 10.1016/j.ophtha.2015.06.019
– ident: CR38
– volume: 10
  start-page: 321
  year: 2016
  end-page: 330
  ident: CR8
  article-title: Fuchs endothelial corneal dystrophy: Current perspectives
  publication-title: Clin. Ophthalmol.
  doi: 10.2147/OPTH.S83467
– volume: 22
  start-page: 512
  year: 2003
  end-page: 515
  ident: CR19
  article-title: Comparison of confocal biomicroscopy and noncontact specular microscopy for evaluation of the corneal endothelium
  publication-title: Cornea
  doi: 10.1097/00003226-200308000-00005
– ident: CR13
– volume: 76
  start-page: 478
  year: 1910
  end-page: 508
  ident: CR4
  article-title: Dystrophia epithelialis corneae
  publication-title: Albrecht von Graefes Archiv fur klinische und experimentelle ophthalmologie
  doi: 10.1007/BF01986362
– volume: 158
  start-page: 71
  year: 2014
  end-page: 79
  ident: CR23
  article-title: Optical quality of the cornea after descemet membrane endothelial keratoplasty
  publication-title: Am. J. Ophthalmol.
  doi: 10.1016/j.ajo.2014.04.008
– volume: 19
  start-page: 1390
  year: 2002
  end-page: 1397
  ident: CR48
  article-title: Extended analysis of curvature sensing
  publication-title: JOSA A
  doi: 10.1364/JOSAA.19.001390
– volume: 61
  start-page: 3912
  year: 2022
  end-page: 3918
  ident: CR30
  article-title: Wavefront phase measurement of striae in optical glass
  publication-title: Appl. Opt.
  doi: 10.1364/AO.450219
– volume: 12
  start-page: 153
  year: 1947
  end-page: 157
  ident: CR40
  article-title: Note on the sampling error of the difference between correlated proportions or percentages
  publication-title: Psychometrika
  doi: 10.1007/bf02295996
– volume: 22
  start-page: 512
  year: 2003
  ident: 71480_CR19
  publication-title: Cornea
  doi: 10.1097/00003226-200308000-00005
– volume: 120
  start-page: 687
  year: 2013
  ident: 71480_CR12
  publication-title: Ophthalmology
  doi: 10.1016/j.ophtha.2012.09.022
– volume: 48
  start-page: 242
  year: 2022
  ident: 71480_CR22
  publication-title: Eye Contact Lens
  doi: 10.1097/ICL.0000000000000868
– volume: 122
  start-page: 2103
  year: 2015
  ident: 71480_CR17
  publication-title: Ophthalmology
  doi: 10.1016/j.ophtha.2015.06.019
– volume: 96
  start-page: 2036
  year: 1978
  ident: 71480_CR11
  publication-title: Arch. Ophthalmol.
  doi: 10.1001/archopht.1978.03910060424004
– volume: 61
  start-page: 3912
  year: 2022
  ident: 71480_CR30
  publication-title: Appl. Opt.
  doi: 10.1364/AO.450219
– volume: 226
  start-page: 252
  year: 2021
  ident: 71480_CR50
  publication-title: Am. J. Ophthalmol.
  doi: 10.1016/j.ajo.2021.01.018
– volume: 17
  start-page: 493
  year: 1998
  ident: 71480_CR2
  publication-title: Cornea
  doi: 10.1097/00003226-199809000-00006
– ident: 71480_CR38
– volume: 39
  start-page: 1227
  year: 2020
  ident: 71480_CR24
  publication-title: Cornea
  doi: 10.1097/ICO.0000000000002416
– volume: 12
  start-page: 153
  year: 1947
  ident: 71480_CR40
  publication-title: Psychometrika
  doi: 10.1007/bf02295996
– volume: 40
  start-page: 465
  year: 2004
  ident: 71480_CR44
  publication-title: [Zhonghua yan ke za zhi] Chin. J. Ophthalmol.
– year: 2023
  ident: 71480_CR45
  publication-title: Br. J. Ophthalmol.
  doi: 10.1136/bjo-2023-323297
– volume: 11
  start-page: 23334
  year: 2021
  ident: 71480_CR28
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-021-02653-w
– volume: 221
  start-page: 260
  year: 2021
  ident: 71480_CR18
  publication-title: Am. J. Ophthalmol.
  doi: 10.1016/j.ajo.2020.07.029
– volume: 31
  start-page: 158
  year: 2005
  ident: 71480_CR16
  publication-title: Eye Contact Lens
  doi: 10.1097/01.icl.0000165286.05080.23
– volume: 158
  start-page: 71
  year: 2014
  ident: 71480_CR23
  publication-title: Am. J. Ophthalmol.
  doi: 10.1016/j.ajo.2014.04.008
– ident: 71480_CR37
– volume: 10
  start-page: 321
  year: 2016
  ident: 71480_CR8
  publication-title: Clin. Ophthalmol.
  doi: 10.2147/OPTH.S83467
– ident: 71480_CR29
  doi: 10.1117/12.2505764
– volume: 19
  start-page: 1390
  year: 2002
  ident: 71480_CR48
  publication-title: JOSA A
  doi: 10.1364/JOSAA.19.001390
– volume: 2
  start-page: 100
  year: 2022
  ident: 71480_CR36
  publication-title: Nat. Rev. Methods Primers
  doi: 10.1038/s43586-022-00184-w
– volume: 7
  start-page: 44
  year: 2020
  ident: 71480_CR49
  publication-title: Eye and Vision
  doi: 10.1186/s40662-020-00209-z
– ident: 71480_CR13
  doi: 10.1146/annurev-vision-091718-014852
– volume: 142
  year: 2023
  ident: 71480_CR31
  publication-title: Opt. Mater.
  doi: 10.1016/j.optmat.2023.114087
– volume: 10
  start-page: 1895
  year: 1998
  ident: 71480_CR41
  publication-title: Neural Comput.
  doi: 10.1162/089976698300017197
– volume: 34
  start-page: 1623
  year: 2015
  ident: 71480_CR15
  publication-title: Cornea
  doi: 10.1097/ICO.0000000000000656
– volume: 60
  start-page: 603
  year: 2019
  ident: 71480_CR33
  publication-title: Investig. Ophthalmol. Vis. Sci.
– volume: 41
  start-page: 692
  year: 2022
  ident: 71480_CR47
  publication-title: Cornea
  doi: 10.1097/ico.0000000000002762
– volume: 58
  start-page: 2021
  year: 2017
  ident: 71480_CR34
  publication-title: Investig. Ophthalmol. Vis. Sci.
  doi: 10.1167/iovs.16-21025
– volume: 38
  start-page: 149
  year: 1993
  ident: 71480_CR1
  publication-title: Surv. Ophthalmol.
  doi: 10.1016/0039-6257(93)90099-s
– volume: 130
  start-page: 97
  year: 2015
  ident: 71480_CR9
  publication-title: Exp. Eye Res.
  doi: 10.1016/j.exer.2014.10.023
– volume: 12
  start-page: 691
  year: 2023
  ident: 71480_CR7
  publication-title: Ophthalmol. Ther.
  doi: 10.1007/s40123-022-00637-1
– volume: 11218
  start-page: 117
  year: 2020
  ident: 71480_CR32
  publication-title: Ophthalmic Technol. XXX
  doi: 10.1117/12.2548595
– volume: 113
  start-page: 565
  year: 2006
  ident: 71480_CR14
  publication-title: Ophthalmology
  doi: 10.1016/j.ophtha.2005.12.014
– volume: 76
  start-page: 478
  year: 1910
  ident: 71480_CR4
  publication-title: Albrecht von Graefes Archiv fur klinische und experimentelle ophthalmologie
  doi: 10.1007/BF01986362
– year: 2024
  ident: 71480_CR42
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-024-56706-x
– volume: 8
  start-page: 173
  year: 2010
  ident: 71480_CR3
  publication-title: Ocul. Surf.
  doi: 10.1016/s1542-0124(12)70232-x
– volume: 55
  start-page: 3580
  year: 2014
  ident: 71480_CR21
  publication-title: Investig. Ophthalmol. Vis. Sci.
  doi: 10.1167/iovs.14-14191
– volume-title: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  year: 2000
  ident: 71480_CR39
  doi: 10.1017/CBO9780511801389
– volume: 55
  start-page: 5090
  year: 2014
  ident: 71480_CR20
  publication-title: Investig. Ophthalmol. Vis. Sci.
  doi: 10.1167/iovs.14-14249
– volume: 03
  start-page: 141
  year: 2010
  ident: 71480_CR35
  publication-title: J. Softw. Eng. Appl.
  doi: 10.4236/jsea.2010.32018
– volume: 9
  start-page: 81
  year: 1926
  ident: 71480_CR6
  publication-title: Am. J. Ophthalmol.
  doi: 10.1016/S0002-9394(26)90951-3
– volume: 12
  start-page: 1569
  year: 2023
  ident: 71480_CR26
  publication-title: Ophthalmol. Ther.
  doi: 10.1007/s40123-023-00684-2
– volume: 54
  start-page: 588
  year: 1925
  ident: 71480_CR5
  publication-title: Arch. Ophthalmol.
– volume: 90
  start-page: 455
  year: 1980
  ident: 71480_CR43
  publication-title: Am. J. Ophthalmol.
  doi: 10.1016/s0002-9394(14)75011-1
– volume: 95
  start-page: 21
  year: 2018
  ident: 71480_CR10
  publication-title: OPTOMETRY VISION SCI.
  doi: 10.1097/OPX.0000000000001157
– volume: 14
  start-page: 9984
  year: 2024
  ident: 71480_CR27
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-024-60842-9
– volume: 122
  start-page: 1645
  year: 2015
  ident: 71480_CR25
  publication-title: Ophthalmology
  doi: 10.1016/j.ophtha.2015.05.005
– volume: 13
  start-page: 1
  year: 2018
  ident: 71480_CR46
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0207891
SSID ssj0000529419
Score 2.4271715
Snippet This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs’ Endothelial Corneal Dystrophy...
This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs' Endothelial Corneal Dystrophy...
Abstract This study aims to evaluate the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) in eyes with Fuchs’ Endothelial Corneal...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
springer
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage 20369
SubjectTerms 639/166/985
639/624/1075/1083
639/624/1107/510
639/705/1046
639/705/117
639/766/930/12
639/766/930/2735
692/699/3161
692/699/3161/3163
Aberrometry - instrumentation
Aberrometry - methods
Adult
Aged
Cornea
Corneal dystrophy
Dystrophy
Eye
Female
Fuchs' endothelial corneal dystrophy
Fuchs' Endothelial Dystrophy - diagnosis
Guttae
Humanities and Social Sciences
Humans
Image processing
Machine learning
Male
Middle Aged
multidisciplinary
Ocular aberrations
Science
Science (multidisciplinary)
Sensors
Statistical analysis
Support Vector Machine
WaveFront sensor
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Li9RAEG5kQfAivo2u0oI3DZt0dzrdR113WAQ9ubB4afpRcQVJZDKj7M2_4d_zl1iVzszu-MCL16QhxVfd9Fepqq8YewpV6jRQnY40TalaL0vbgiohGV-Bb9vKUDfym7f6-ES9Pm1OL436opqwLA-cgTuAygYwvtPG16qpfIiNElFIL6VMMquX4p13KZjKqt7CqtrOXTJox8GINxV1kwkqP1QGY6adm2gS7P8Ty_y9WPKXjOl0ES1usOszg-QvsuU32RXob7Greabk-W32frGOZ-OPb9_5UZ-oveoT7jB-OCx7pIT81fm4Wg4ILb-Q-eZU-_6Be07SxSWG3_Nu5F_9F-hI4ICPGOwOyzvsZHH07vC4nAcolFFZsSoDJIheNtqDSSGmaDof6Kdn8KlNInSmCbHW1gqoobbB6A4ZRJcQaUvDa-RdttcPPdxnPOAKi6GSriIooMGeJNxuoDF11KoOBXu2AdN9zjoZbspvS-My9A6hdxP0ThfsJeG9XUka19MD9LybPe_-5fmC7W-85eaDNzpJjJcEb_AbT7av8chQHsT3MKxxTT2p-FTaFOxedu7WEqSLyDGFLJjZcfuOqbtv-o9nkyw3TccxyLYL9nyzQy7s-jsWD_4HFg_ZNUFbmzJdYp_trZZreIRsaRUeTwfjJ4XbEto
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Health & Medical Collection (ProQuest)
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwEB5BERIXxJtAQUbiBlGTOHGcUwWlqwoJTlRacbH8mLSVUFKSXVBv_I3-vf6SziTZXS2va-zDZDy2v_HMfAPwGpNQK-Q8HamLOC-tjKsS8xiDtgnaskw0VyN_-qyOjvOP82I-Pbj1U1rl6kwcDurQen4j35MMZZjJRO2ff4-5axRHV6cWGjfhFlOXcUpXOS_XbywcxcrTaqqVIWn2erqvuKYs4yTEXJPntHUfDbT9f8Oaf6ZM_hY3Ha6j2T24O-FI8W5c-PtwA5sHcHvsLHnxEL7Olv60v_p1KQ6bwEVW38jOxEHbNQQMxYeLftG1pGCxIfsWnAF_IqxgAuOYnPDJJsVP-wNrpjkQPbm8bfcIjmeHXw6O4qmNQuzzKlvEDgN6KwtlUQfng9e1dfz06WwoQ-ZqXTifqqrKMMW0clrVhCPqYMl54hY28jHsNG2DT0E4mlGRw6QSjzlye0-mb9dY6NSrPHURvFkp05yPbBlmiHJLbUbVG1K9GVRvVATvWd_rmcx0PXxouxMzbRyDSeVQ21ppkqdIrPNFnvlMWilloMMqgt3Vaplp-_VmYywRvFoP08bhaIhtsF3SnHTg8kmUjuDJuLhrSQg0EtLMZAR6a9m3RN0eac5OB3Ju7pGjCXNH8HZlIRu5_q2LZ___jedwJ2Oj5UhWtgs7i26JLwgNLdzLweSvAbgOCpE
  priority: 102
  providerName: ProQuest
– databaseName: Springer Nature : Open Access Journals
  dbid: C6C
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NbtQwELZKERIXxD8pBRmJG0QkduI4x3bpqkKCE5UqLpZ_Ji1SlaBkF9Qbr9HX40mYcZKtFsqBa-woo_HY_iYz8w1jryELjQLK05G6TIvKyrSuoEghaJuBrapMUzXyx0_q-KT4cFqe7jAx18LEpP1IaRmP6Tk77N2AFw0VgwnKHiw0ujy32G2ibierXqjF5r8KRa6KvJ7qY1CCG17duoMiVf9N-PLvNMk_YqXxClreZ_cm7MgPRmkfsB1oH7I7YzfJy0fsy3Ltz4dfP6_4URuosOoCbYsvur5FMMjfXw6rvkOl8muCb05Z72fcciItTtHxnuyQ_7DfoSFqAz6gm9v1j9nJ8ujz4jidWiekvqjFKnUQwFtZKgs6OB-8bqyj353OhioI1-jS-VzVtYAc8tpp1SB2aIJFh4na1sgnbLftWnjGuMMZNTpJKvNQALX0JMp2DaXOvSpyl7A3szLNt5Ehw8TIttRmVL1B1ZuoeqMSdkj63swkduv4oOvPzLTaBrLagbaN0ihPmVnny0J4Ia2UMuABlbD9ebXMtOUGIwnrEtUNfuPVZhg3C0VAbAvdGufkkb8nUzphT8fF3UiCQBHRpZAJ01vLviXq9kj79TwSclNfHI04O2FvZwu5luvfutj7v-nP2V1BRkzRLLHPdlf9Gl4gIlq5l3EL_AZOQAhH
  priority: 102
  providerName: Springer Nature
Title Fuchs’ Endothelial Corneal Dystrophy evaluation using a high-resolution wavefront sensor
URI https://link.springer.com/article/10.1038/s41598-024-71480-6
https://www.ncbi.nlm.nih.gov/pubmed/39223223
https://www.proquest.com/docview/3099948556
https://www.proquest.com/docview/3100273068
https://pubmed.ncbi.nlm.nih.gov/PMC11368916
https://doaj.org/article/e09be8af68a1450abc542c23a333d305
Volume 14
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NjtMwEB7tj5C4IP4JLJWRuEEgiRPHOSDULa1WlXaFgEoVF8t2nF2kVQJJC_TGa_B6PAkzSdpVoRw4RbInijWeib-xPd8APHVBXghH93S4TPw41dzPUhf7Lpc6cDpNA0nZyKdn4mQWT-fJfA_W5Y56BTY7QzuqJzWrL198_7J6jQ7_qksZly8bXIQoUSyim4WxxHBoHw5xZUrJUU97uN9xfUdZHGZ97szuV7fWp5bGfxf2_PsK5R_nqO3yNLkJN3pcyYadIdyCPVfehmtdpcnVHfg4WdqL5tePn2xc5pR0dYl2x0ZVXSJQZG9WzaKuUOHsivyb0Y34c6YZERr7GJT3Nsq-6a-uINoD1mAIXNV3YTYZfxid-H1ZBd_GWbTwjcud1TwR2snc2NzKQhvaCjU6T_PIFDIxNhRZFrnQhZmRokBcUeQagykqacPvwUFZle4BMIMSGQZQIrAudlTuk-jcpUtkaEUcGg-erZWpPnfsGao99eZSdapXqHrVql4JD45J3xtJYr5uG6r6XPWOpFyQGSd1ISSOJwm0sUkc2YhrznmOPy8PjtazpdbWpDjhYKLBwW882XSjI9HpiC5dtUSZsOX2CYT04H43uZuRIIhE5BlxD-TWtG8Ndbun_HTRknVTzRyJGNyD52sLuRrXv3Xx8P_EH8H1iIyYTrqiIzhY1Ev3GNHSwgxgP52nAzgcDqfvp_g8Hp-9fYetIzEatDsQg9ZJfgOumhfE
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6VVAguiDeGAosEJ7Bqe21nfUCItolS2kYItVLFZbsvt0jILnFClRt_gz_Bj-KXMONHovC69epdWbvz2J3ZmfkG4LkLbJ46ytPhIvHjvuJ-1nex76xQgVP9fiCoGvlgnI6O4nfHyfEa_OhqYSitsjsT64PalobeyDc5mTKEZJK-Of_iU9coiq52LTQasdhz8wt02arXuzvI3xdRNBwcbo_8tquAb-IsmvraWWcUT1LlhNXGGpErTS-BWtm-jXQuEm3CNMsiF7ow0yLN8VrNrUJfgjq6cPzvFViPOboyPVjfGozff1i86lDcLA6ztjoH979Z4Q1JVWwRpT3GAn21lRuwbhTwN-v2zyTN3yK19QU4vAk3WsuVvW1E7RasueI2XG16Wc7vwMfhzJxVP799Z4PCUlnXZ5Rstl1OCjRF2c68mk5KZClbwoszyrk_ZYoRZLKPbn-rBexCfXU5ASuwCp3scnIXji6FxPegV5SFewBM44wMXbQ0MC521FCUAOOFS0Ro0jjUHrzsiCnPG3wOWcfVuZAN6SWSXtakl6kHW0TvxUzC1q4_lJNT2aqqdEGmnVB5KnA9SaC0SeLIRFxxzi0ejx5sdNySrcJXcimeHjxbDKOqUvxFFa6c4ZywRg8KUuHB_Ya5i5WgmYq2bcQ9ECtsX1nq6kjx6ayGA6euPAKtfA9edRKyXNe_afHw_9t4CtdGhwf7cn93vPcIrkckwBRHizagN53M3GO0xab6SasADE4uW-d-Aa5dS6I
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKEYgL4k2ggJHgBNEmduI4B4Sg21VLoeJApRUX16-0SCgpyS7V3vgb_BV-Dr-EmTx2tbxuvSZWNJmHPeOZ-YaQJz5yhfBYp8NlGiaZ5mGe-ST0TurI6yyLJHYjvzsQu4fJm2k63SA_hl4YLKsc9sR2o3aVxTvyEUdXBpFMxKjoyyLejycvT7-EOEEKM63DOI1ORfb94gzCt-bF3hhk_ZSxyc6H7d2wnzAQ2iRns9B4563mqdBeOmOdlYU2eCtotMscM4VMjY1FnjMf-zg3UhRwxBZOQ1yB0104fPcCuZjxNEYby6bZ8n4HM2hJnPd9OsCJUQNnJfazMSyATCREbWtnYTsy4G9-7p_lmr_lbNujcHKNXO19WPqqU7rrZMOXN8ilbqrl4ib5OJnbk-bnt-90p3TY4PUZdJxuV3UJTikdL5pZXYFw6QponGL1_THVFMGTw9oP9kDP9FdfIMQCbSDcrupb5PBcGHybbJZV6e8SamBFDsGaiKxPPI4WReh46VMZW5HEJiDPBmaq0w6pQ7UZdi5Vx3oFrFct65UIyGvk93Ilomy3D6r6WPVGq3yUGy91ISTQk0ba2DRhlnHNOXewUQZka5CW6k2_UStFDcjj5WswWszE6NJXc1gTtzhCkZABudMJd0kJOKzg5TIeELkm9jVS19-Un05aYHCczyPB3w_I80FDVnT9mxf3_v8bj8hlsDT1du9g_z65wlB_MaHGtsjmrJ77B-CUzczDVvspOTpvc_sFOrBOcg
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Fuchs%E2%80%99+Endothelial+Corneal+Dystrophy+evaluation+using+a+high-resolution+wavefront+sensor&rft.jtitle=Scientific+reports&rft.au=Belda-Para%2C+Carolina&rft.au=Velarde-Rodr%C3%ADguez%2C+Gonzalo&rft.au=Marichal-Hern%C3%A1ndez%2C+Jos%C3%A9+G.&rft.au=Velasco-Oca%C3%B1a%2C+Miriam&rft.date=2024-09-02&rft.pub=Nature+Publishing+Group+UK&rft.eissn=2045-2322&rft.volume=14&rft.issue=1&rft_id=info:doi/10.1038%2Fs41598-024-71480-6&rft.externalDocID=10_1038_s41598_024_71480_6
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon