Validation of methodologies for quantifying isolated human islets: an islet cell resources study

Kissler HJ, Niland JC, Olack B, Ricordi C, Hering B J, Naji A, Kandeel F, Oberholzer J, Fernandez L, Contreras J, Stiller T, Sowinski J, Kaufman DB. Validation of methodologies for quantifying isolated human islets: an islet cell resources study.
Clin Transplant 2009 DOI: 10.1111/j.1399‐0012.2009.01...

Full description

Saved in:
Bibliographic Details
Published inClinical transplantation Vol. 24; no. 2; pp. 236 - 242
Main Authors Kissler, H.J., Niland, J.C., Olack, B., Ricordi, C., Hering, B.J., Naji, A., Kandeel, F., Oberholzer, J., Fernandez, L., Contreras, J., Stiller, T., Sowinski, J., Kaufman, D.B.
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.03.2010
Wiley
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Kissler HJ, Niland JC, Olack B, Ricordi C, Hering B J, Naji A, Kandeel F, Oberholzer J, Fernandez L, Contreras J, Stiller T, Sowinski J, Kaufman DB. Validation of methodologies for quantifying isolated human islets: an islet cell resources study.
Clin Transplant 2009 DOI: 10.1111/j.1399‐0012.2009.01052.x.
© 2009 John Wiley & Sons A/S. :  Background:  Quantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic intervention for select patients with type I diabetes. Methods:  This multi‐center study involved all eight member institutions of the National Institutes of Health‐supported Islet Cell Resources Consortium. The study was designed to validate the standard counting procedure for quantifying isolated, dithizone‐stained human islets as a reliable methodology by ascertaining the accuracy, repeatability (intra‐observer variability), and intermediate precision (inter‐observer variability). The secondary aim of the study was to evaluate a new software‐assisted digital image analysis method as a supplement for islet quantification. Results:  The study demonstrated the accuracy, repeatability and intermediate precision of the standard counting procedure for isolated human islets. This study also demonstrated that software‐assisted digital image analysis as a supplemental method for islet quantification was more accurate and consistent than the standard manual counting method. Conclusions:  Standard counting procedures for enumerating isolated stained human islets is a valid methodology, but computer‐assisted digital image analysis assessment of islet mass has the added benefit of providing a permanent record of the isolated islet product being evaluated that improves quality assurance operations of current good manufacturing practice.
AbstractList BACKGROUNDQuantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic intervention for select patients with type I diabetes. METHODSThis multi-center study involved all eight member institutions of the National Institutes of Health-supported Islet Cell Resources Consortium. The study was designed to validate the standard counting procedure for quantifying isolated, dithizone-stained human islets as a reliable methodology by ascertaining the accuracy, repeatability (intra-observer variability), and intermediate precision (inter-observer variability). The secondary aim of the study was to evaluate a new software-assisted digital image analysis method as a supplement for islet quantification. RESULTSThe study demonstrated the accuracy, repeatability and intermediate precision of the standard counting procedure for isolated human islets. This study also demonstrated that software-assisted digital image analysis as a supplemental method for islet quantification was more accurate and consistent than the standard manual counting method. CONCLUSIONSStandard counting procedures for enumerating isolated stained human islets is a valid methodology, but computer-assisted digital image analysis assessment of islet mass has the added benefit of providing a permanent record of the isolated islet product being evaluated that improves quality assurance operations of current good manufacturing practice.
Kissler HJ, Niland JC, Olack B, Ricordi C, Hering B J, Naji A, Kandeel F, Oberholzer J, Fernandez L, Contreras J, Stiller T, Sowinski J, Kaufman DB. Validation of methodologies for quantifying isolated human islets: an islet cell resources study.
Clin Transplant 2009 DOI: 10.1111/j.1399‐0012.2009.01052.x.
© 2009 John Wiley & Sons A/S. :  Background:  Quantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic intervention for select patients with type I diabetes. Methods:  This multi‐center study involved all eight member institutions of the National Institutes of Health‐supported Islet Cell Resources Consortium. The study was designed to validate the standard counting procedure for quantifying isolated, dithizone‐stained human islets as a reliable methodology by ascertaining the accuracy, repeatability (intra‐observer variability), and intermediate precision (inter‐observer variability). The secondary aim of the study was to evaluate a new software‐assisted digital image analysis method as a supplement for islet quantification. Results:  The study demonstrated the accuracy, repeatability and intermediate precision of the standard counting procedure for isolated human islets. This study also demonstrated that software‐assisted digital image analysis as a supplemental method for islet quantification was more accurate and consistent than the standard manual counting method. Conclusions:  Standard counting procedures for enumerating isolated stained human islets is a valid methodology, but computer‐assisted digital image analysis assessment of islet mass has the added benefit of providing a permanent record of the isolated islet product being evaluated that improves quality assurance operations of current good manufacturing practice.
Quantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic intervention for select patients with type I diabetes. This multi-center study involved all eight member institutions of the National Institutes of Health-supported Islet Cell Resources Consortium. The study was designed to validate the standard counting procedure for quantifying isolated, dithizone-stained human islets as a reliable methodology by ascertaining the accuracy, repeatability (intra-observer variability), and intermediate precision (inter-observer variability). The secondary aim of the study was to evaluate a new software-assisted digital image analysis method as a supplement for islet quantification. The study demonstrated the accuracy, repeatability and intermediate precision of the standard counting procedure for isolated human islets. This study also demonstrated that software-assisted digital image analysis as a supplemental method for islet quantification was more accurate and consistent than the standard manual counting method. Standard counting procedures for enumerating isolated stained human islets is a valid methodology, but computer-assisted digital image analysis assessment of islet mass has the added benefit of providing a permanent record of the isolated islet product being evaluated that improves quality assurance operations of current good manufacturing practice.
Kissler HJ, Niland JC, Olack B, Ricordi C, Hering B J, Naji A, Kandeel F, Oberholzer J, Fernandez L, Contreras J, Stiller T, Sowinski J, Kaufman DB. Validation of methodologies for quantifying isolated human islets: an islet cell resources study.
Clin Transplant 2009 DOI: 10.1111/j.1399‐0012.2009.01052.x.
© 2009 John Wiley & Sons A/S. Abstract:  Background:  Quantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic intervention for select patients with type I diabetes. Methods:  This multi‐center study involved all eight member institutions of the National Institutes of Health‐supported Islet Cell Resources Consortium. The study was designed to validate the standard counting procedure for quantifying isolated, dithizone‐stained human islets as a reliable methodology by ascertaining the accuracy, repeatability (intra‐observer variability), and intermediate precision (inter‐observer variability). The secondary aim of the study was to evaluate a new software‐assisted digital image analysis method as a supplement for islet quantification. Results:  The study demonstrated the accuracy, repeatability and intermediate precision of the standard counting procedure for isolated human islets. This study also demonstrated that software‐assisted digital image analysis as a supplemental method for islet quantification was more accurate and consistent than the standard manual counting method. Conclusions:  Standard counting procedures for enumerating isolated stained human islets is a valid methodology, but computer‐assisted digital image analysis assessment of islet mass has the added benefit of providing a permanent record of the isolated islet product being evaluated that improves quality assurance operations of current good manufacturing practice.
Author Hering, B.J.
Naji, A.
Kaufman, D.B.
Niland, J.C.
Olack, B.
Oberholzer, J.
Stiller, T.
Ricordi, C.
Fernandez, L.
Contreras, J.
Kissler, H.J.
Kandeel, F.
Sowinski, J.
AuthorAffiliation 1 Northwestern University, Department of Surgery, Chicago, IL 60611
8 University of Alabama
2 City of Hope, Department of Information Science, Duarte, CA 91010
7 University of Wisconsin
5 University of Pennsylvania
6 University of Illinois
3 University of Miami
4 University of Minnesota
AuthorAffiliation_xml – name: 5 University of Pennsylvania
– name: 8 University of Alabama
– name: 6 University of Illinois
– name: 3 University of Miami
– name: 1 Northwestern University, Department of Surgery, Chicago, IL 60611
– name: 4 University of Minnesota
– name: 2 City of Hope, Department of Information Science, Duarte, CA 91010
– name: 7 University of Wisconsin
Author_xml – sequence: 1
  givenname: H.J.
  surname: Kissler
  fullname: Kissler, H.J.
  organization: Department of Surgery, Northwestern University, Chicago, IL
– sequence: 2
  givenname: J.C.
  surname: Niland
  fullname: Niland, J.C.
  organization: City of Hope, Department of Information Science, Duarte, CA, USA
– sequence: 3
  givenname: B.
  surname: Olack
  fullname: Olack, B.
  organization: City of Hope, Department of Information Science, Duarte, CA, USA
– sequence: 4
  givenname: C.
  surname: Ricordi
  fullname: Ricordi, C.
  organization: University of Miami
– sequence: 5
  givenname: B.J.
  surname: Hering
  fullname: Hering, B.J.
  organization: University of Minnesota
– sequence: 6
  givenname: A.
  surname: Naji
  fullname: Naji, A.
  organization: University of Pennsylvania
– sequence: 7
  givenname: F.
  surname: Kandeel
  fullname: Kandeel, F.
  organization: Department of Diabetes, Metabolism and Endocrinology, City of Hope, Duarte, CA, USA
– sequence: 8
  givenname: J.
  surname: Oberholzer
  fullname: Oberholzer, J.
  organization: University of Illinois
– sequence: 9
  givenname: L.
  surname: Fernandez
  fullname: Fernandez, L.
  organization: University of Wisconsin
– sequence: 10
  givenname: J.
  surname: Contreras
  fullname: Contreras, J.
  organization: University of Alabama and
– sequence: 11
  givenname: T.
  surname: Stiller
  fullname: Stiller, T.
  organization: City of Hope, Department of Information Science, Duarte, CA, USA
– sequence: 12
  givenname: J.
  surname: Sowinski
  fullname: Sowinski, J.
  organization: City of Hope, Department of Information Science, Duarte, CA, USA
– sequence: 13
  givenname: D.B.
  surname: Kaufman
  fullname: Kaufman, D.B.
  organization: Department of Surgery, Northwestern University, Chicago, IL
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22576132$$DView record in Pascal Francis
https://www.ncbi.nlm.nih.gov/pubmed/19719726$$D View this record in MEDLINE/PubMed
BookMark eNqNkd1uEzEQhS1URNPCKyDfIK5265-sd40EEkppQKpA0AguB3ftTRwcu7V3IXl7vCQEuMOy5BnPd2ZsnTN04oM3CGFKSprXxbqkXMqCEMpKRogsCSUVK7cP0ORYOEETIgnLseCn6Cyldb4VVFSP0CmVdd5MTNDXz8pZrXobPA4d3ph-FXRwYWlNwl2I-H5Qvrfdzvoltik41RuNV8NG-Zw606cX-HeIW-McjiaFIbZZnvpB7x6jh51yyTw5nOdocfVmMXtbXH-Yv5u9vi7aakpZoeuGac6JJqSujeAtp52uJdGamUrfMqJbbgTJFU1z3ujO0IppUjUZkJyfo1f7tnfD7cbo1vg-Kgd30W5U3EFQFv6teLuCZfgOnArBpjQ3eH5oEMP9YFIPG5vGDylvwpCg5rySUzkdRzV7so0hpWi64xRKYLQH1jC6AKMLMNoDv-yBbZY-_fuVf4QHPzLw7ACo1CrXReVbm44cY1UtKGeZe7nnflhndv_9AJgtPo1R1hd7vU292R71Kn4DUfO6gi_v5zD_eCkvb5obaPhPns6-ww
CitedBy_id crossref_primary_10_1002_bit_26442
crossref_primary_10_1111_ajt_15168
crossref_primary_10_1016_j_biomaterials_2018_04_047
crossref_primary_10_1177_0963689718779350
crossref_primary_10_4161_isl_24249
crossref_primary_10_3727_096368916X691655
crossref_primary_10_3389_fendo_2024_1345351
crossref_primary_10_3727_096368916X692005
crossref_primary_10_4103_jpi_jpi_27_19
crossref_primary_10_3727_096368912X662417
crossref_primary_10_3727_096368914X681928
crossref_primary_10_1097_TXD_0000000000000528
crossref_primary_10_3727_096368913X667493
crossref_primary_10_3727_096368912X653219
crossref_primary_10_1177_0963689718779898
crossref_primary_10_1371_journal_pone_0185331
crossref_primary_10_1136_jclinpath_2021_207524
crossref_primary_10_1080_19382014_2023_2189873
crossref_primary_10_1097_TP_0b013e31820ae48e
crossref_primary_10_3727_096368915X689947
crossref_primary_10_3727_096368916X692834
crossref_primary_10_1111_xen_12177
crossref_primary_10_1038_s41598_019_45678_y
crossref_primary_10_3389_ti_2022_10167
crossref_primary_10_1097_MPA_0000000000000391
crossref_primary_10_1155_2011_247959
crossref_primary_10_1016_j_ajpath_2020_11_010
crossref_primary_10_2337_db16_0234
crossref_primary_10_1586_1744666X_2015_978291
crossref_primary_10_3727_096368914X681612
crossref_primary_10_1186_1742_4682_8_20
crossref_primary_10_1007_s00592_012_0375_4
Cites_doi 10.1900/RDS.2008.5.38
10.1046/j.1463-1326.2001.00138.x
10.1007/s002689900155
10.1016/S0041-1345(97)01314-6
10.3727/000000003783985214
10.1097/00007890-199109000-00010
10.1016/j.brainresprot.2005.10.002
10.3727/000000003108746713
10.1016/S0963-6897(98)00017-7
10.1006/jmcc.1997.0624
10.1016/S0165-0270(01)00476-9
10.1016/S0165-0270(03)00023-2
10.3109/9781420016512-7
10.1007/BF02581331
10.1097/00007890-198001000-00019
10.1088/0031-9155/47/8/303
10.2527/2004.823808x
ContentType Journal Article
Copyright 2009 John Wiley & Sons A/S
2015 INIST-CNRS
Copyright_xml – notice: 2009 John Wiley & Sons A/S
– notice: 2015 INIST-CNRS
DBID BSCLL
IQODW
CGR
CUY
CVF
ECM
EIF
NPM
AAYXX
CITATION
7X8
5PM
DOI 10.1111/j.1399-0012.2009.01052.x
DatabaseName Istex
Pascal-Francis
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
CrossRef
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
CrossRef
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic

MEDLINE
CrossRef
Database_xml – sequence: 1
  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: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
EISSN 1399-0012
EndPage 242
ExternalDocumentID 10_1111_j_1399_0012_2009_01052_x
19719726
22576132
CTR1052
ark_67375_WNG_GQD9DS8S_8
Genre article
Validation Study
Multicenter Study
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NIAID NIH HHS
  grantid: U01 AI089316
– fundername: NCRR NIH HHS
  grantid: U42RR017673
– fundername: NCRR NIH HHS
  grantid: U42RR023245
– fundername: NIAID NIH HHS
  grantid: U01 AI089316-01
– fundername: National Institute of Allergy and Infectious Diseases Extramural Activities : NIAID
  grantid: U01 AI089316-01 || AI
GroupedDBID ---
.3N
.GA
.GJ
.Y3
05W
0R~
10A
1OC
29B
31~
33P
36B
3SF
4.4
50Y
50Z
51W
51X
52M
52N
52O
52P
52R
52S
52T
52U
52V
52W
52X
53G
5GY
5HH
5LA
5RE
5VS
66C
6J9
702
7PT
8-0
8-1
8-3
8-4
8-5
8UM
930
A01
A03
AAESR
AAEVG
AAHHS
AAKAS
AANLZ
AAONW
AASGY
AAXRX
AAZKR
ABCQN
ABCUV
ABDBF
ABEML
ABJNI
ABLJU
ABPVW
ABQWH
ABXGK
ACAHQ
ACBWZ
ACCFJ
ACCZN
ACGFO
ACGFS
ACGOF
ACMXC
ACPOU
ACSCC
ACXBN
ACXQS
ADBBV
ADBTR
ADEOM
ADIZJ
ADKYN
ADMGS
ADOZA
ADXAS
ADZCM
ADZMN
ADZOD
AEEZP
AEGXH
AEIGN
AEIMD
AENEX
AEQDE
AEUQT
AEUYR
AFBPY
AFEBI
AFFPM
AFGKR
AFPWT
AFZJQ
AHBTC
AIACR
AIAGR
AITYG
AIURR
AIWBW
AJBDE
ALAGY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
AMBMR
AMYDB
ASPBG
ATUGU
AVWKF
AZBYB
AZFZN
AZVAB
BAFTC
BDRZF
BFHJK
BHBCM
BMXJE
BROTX
BRXPI
BSCLL
BY8
C45
CAG
COF
CS3
D-6
D-7
D-E
D-F
DCZOG
DPXWK
DR2
DRFUL
DRMAN
DRSTM
DU5
EAD
EAP
EBC
EBD
EBS
EJD
EMB
EMK
EMOBN
ESX
EX3
F00
F01
F04
F5P
FEDTE
FUBAC
G-S
G.N
GODZA
H.X
HF~
HGLYW
HVGLF
HZI
HZ~
IHE
IX1
J0M
J5H
K48
KBYEO
LATKE
LC2
LC3
LEEKS
LH4
LITHE
LOXES
LP6
LP7
LUTES
LW6
LYRES
MEWTI
MK4
MRFUL
MRMAN
MRSTM
MSFUL
MSMAN
MSSTM
MXFUL
MXMAN
MXSTM
N04
N05
N9A
NF~
O66
O9-
OIG
OVD
P2P
P2W
P2X
P2Z
P4B
P4D
Q.N
Q11
QB0
R.K
ROL
RX1
SUPJJ
SV3
TEORI
TUS
UB1
V8K
W8V
W99
WBKPD
WHWMO
WIH
WIJ
WIK
WOHZO
WOW
WQJ
WRC
WVDHM
WXI
WXSBR
XG1
YFH
YUY
ZGI
ZXP
ZZTAW
~IA
~WT
AAJUZ
AAPBV
AAVGM
ABCVL
ABHUG
ABPTK
ACXME
ADAWD
ADDAD
AFVGU
AGJLS
IQODW
CGR
CUY
CVF
ECM
EIF
NPM
AAYXX
CITATION
7X8
5PM
ID FETCH-LOGICAL-c5412-d782d330d0077e63c31fd790dd2e5db20dc3e60e63d15db8dfe152d058d2e933
IEDL.DBID DR2
ISSN 0902-0063
IngestDate Tue Sep 17 21:17:29 EDT 2024
Fri Aug 16 05:46:08 EDT 2024
Fri Aug 23 00:58:45 EDT 2024
Sat Sep 28 08:27:18 EDT 2024
Sun Oct 22 16:04:19 EDT 2023
Sat Aug 24 00:52:09 EDT 2024
Wed Oct 30 09:54:39 EDT 2024
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Keywords Human capital
Methodology
Langerhans islet
Transplantation
Medicine
Test validation
Image analysis
Treatment
Surgery
Quality control
Isolated cell
Graft
Islets of Langerhans
Endocrine pancreas
Quantitative analysis
Language English
License CC BY 4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c5412-d782d330d0077e63c31fd790dd2e5db20dc3e60e63d15db8dfe152d058d2e933
Notes istex:4E73B68AF58BB6F70631AD7B240F2C015628A2FF
ark:/67375/WNG-GQD9DS8S-8
ArticleID:CTR1052
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Undefined-2
OpenAccessLink https://europepmc.org/articles/pmc3166241?pdf=render
PMID 19719726
PQID 733594943
PQPubID 23479
PageCount 7
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_3166241
proquest_miscellaneous_733594943
crossref_primary_10_1111_j_1399_0012_2009_01052_x
pubmed_primary_19719726
pascalfrancis_primary_22576132
wiley_primary_10_1111_j_1399_0012_2009_01052_x_CTR1052
istex_primary_ark_67375_WNG_GQD9DS8S_8
PublicationCentury 2000
PublicationDate March/April 2010
PublicationDateYYYYMMDD 2010-03-01
PublicationDate_xml – month: 03
  year: 2010
  text: March/April 2010
PublicationDecade 2010
PublicationPlace Oxford, UK
PublicationPlace_xml – name: Oxford, UK
– name: Hoboken, NJ
– name: Denmark
PublicationTitle Clinical transplantation
PublicationTitleAlternate Clin Transplant
PublicationYear 2010
Publisher Blackwell Publishing Ltd
Wiley
Publisher_xml – name: Blackwell Publishing Ltd
– name: Wiley
References Benali A, Leefken I, Eysel UT, Weiler E. A computerized image analysis system for quantitative analysis of cells in histological brain sections. J Neurosci Methods 2003: 125: 33.
Sarvazyan N. A new approach to assess viability of adult cardiomyocytes: computer-assisted image analysis. J Mol Cell Cardiol 1998: 30: 297.
Fiedor PS, Oluwole SF. Localization of endocrine pancreatic cells. World J Surg 1996: 20: 1016.
Girman P, Berkova Z, Dobolilova E, Saudek F. How to use image analysis for islet counting. Rev Diabet Stud 2008: 5: 38.
Carai A, Diaz G, Santa Cruz R, Santa Cruz G. Computerized quantitative color analysis for histological study of pulmonary fibrosis. Anticancer Res 2002: 22: 3889.
Downing R, Scharp DW, Ballinger WF. An improved technique for the isolation and identification of mammalian islets of Langerhans. Transplantation 1980: 29: 79.
Jiao L, Gray D. In vitro staining of islets of Langerhans for fluorescence-activated cell-sorting. Transplantation 1991: 52: 450.
Girman P, Kriz J, Friedmansky J, Saudek F. Digital imaging as a possible approach in evaluation of islet yield. Cell Transplant 2003: 12: 129.
Konstantinidou A, Patsouris E, Kavantzas N, Pavlopoulos PM, Bouropoulou V, Davaris P. Computerized determination of proliferating cell nuclear antigen expression in meningiomas. A comparison with non-automated method. Gen Diagn Pathol 1997: 142: 311.
Lehmann R, Fernandez LA, Bottino R et al. Evaluation of islet isolation by a new automated method (Coulter Multisizer Ile) and manual counting. Transplant Proc 1998: 30: 373.
Carnier P, Gallo L, Romani C, Sturaro E, Bondesan V. Computer image analysis for measuring lean and fatty areas in cross-sectioned dry-cured hams. J Anim Sci 2004: 82: 808.
Wexler EJ, Peters EE, Gonzales A, Gonzales ML, Slee AM, Kerr JS. An objective procedure for ischemic area evaluation of the stroke intraluminal thread model in the mouse and rat. J Neurosci Methods 2002: 113: 51.
Shapiro AM, Ricordi C, Hering BJ et al. International trial of the Edmonton protocol for islet transplantation. N Engl J Med 2006: 355: 1318.
Went P, Mayer S, Oberholzer M, Dirnhofer S. Plasma cell quantification in bone marrow by computer-assisted image analysis. Histol Histopathol 2006: 21: 951.
Lembert N, Wesche J, Petersen P, Doser M, Becker HD, Ammon HP. Areal density measurement is a convenient method for the determination of porcine islet equivalents without counting and sizing individual islets. Cell Transplant 2003: 12: 33.
Ricordi C, Gray DW, Hering BJ et al. Islet isolation assessment in man and large animals. Acta Diabetol Lat 1990: 27: 185.
Xavier LL, Viola GG, Ferraz AC et al. A simple and fast densitometric method for the analysis of tyrosine hydroxylase immunoreactivity in the substantia nigra pars compacta and in the ventral tegmental area. Brain Res Protoc 2005: 16: 58.
Sims AJ, Bennett MK, Murray A. Comparison of semi-automated image analysis and manual methods for tissue quantification in pancreatic carcinoma. Phys Med Biol 2002: 47: 1255.
Stegemann JP, O′Neil JJ, Nicholson DT, Mullon CJ. Improved assessment of isolated islet tissue volume using digital image analysis. Cell Transplant 1998: 7: 469.
2002; 47
1980; 29
2004; 82
1990; 27
2006; 21
1991; 52
1997; 142
2002; 113
2002; 22
1998
2008
2007
2008; 5
1998; 30
1998; 7
2003; 125
2005; 16
1996; 20
2006; 355
2003; 12
e_1_2_6_20_2
(e_1_2_6_6_2) 2008
Konstantinidou A (e_1_2_6_9_2) 1997; 142
Went P (e_1_2_6_10_2) 2006; 21
e_1_2_6_8_2
e_1_2_6_7_2
e_1_2_6_19_2
e_1_2_6_4_2
e_1_2_6_3_2
e_1_2_6_5_2
e_1_2_6_13_2
e_1_2_6_23_2
e_1_2_6_2_2
Carai A (e_1_2_6_18_2) 2002; 22
e_1_2_6_22_2
e_1_2_6_11_2
Denzin N (e_1_2_6_12_2) 1998
e_1_2_6_21_2
e_1_2_6_16_2
e_1_2_6_17_2
e_1_2_6_14_2
e_1_2_6_15_2
References_xml – volume: 21
  start-page: 951
  year: 2006
  article-title: Plasma cell quantification in bone marrow by computer‐assisted image analysis
  publication-title: Histol Histopathol
– volume: 20
  start-page: 1016
  year: 1996
  article-title: Localization of endocrine pancreatic cells
  publication-title: World J Surg
– volume: 47
  start-page: 1255
  year: 2002
  article-title: Comparison of semi‐automated image analysis and manual methods for tissue quantification in pancreatic carcinoma
  publication-title: Phys Med Biol
– volume: 30
  start-page: 373
  year: 1998
  article-title: Evaluation of islet isolation by a new automated method (Coulter Multisizer Ile) and manual counting
  publication-title: Transplant Proc
– volume: 30
  start-page: 297
  year: 1998
  article-title: A new approach to assess viability of adult cardiomyocytes: computer‐assisted image analysis
  publication-title: J Mol Cell Cardiol
– volume: 142
  start-page: 311
  year: 1997
  article-title: Computerized determination of proliferating cell nuclear antigen expression in meningiomas. A comparison with non‐automated method
  publication-title: Gen Diagn Pathol
– volume: 12
  start-page: 129
  year: 2003
  article-title: Digital imaging as a possible approach in evaluation of islet yield
  publication-title: Cell Transplant
– volume: 355
  start-page: 1318
  year: 2006
  article-title: International trial of the Edmonton protocol for islet transplantation
  publication-title: N Engl J Med
– volume: 7
  start-page: 469
  year: 1998
  article-title: Improved assessment of isolated islet tissue volume using digital image analysis
  publication-title: Cell Transplant
– volume: 125
  start-page: 33
  year: 2003
  article-title: A computerized image analysis system for quantitative analysis of cells in histological brain sections
  publication-title: J Neurosci Methods
– year: 2008
– volume: 12
  start-page: 33
  year: 2003
  article-title: Areal density measurement is a convenient method for the determination of porcine islet equivalents without counting and sizing individual islets
  publication-title: Cell Transplant
– volume: 22
  start-page: 3889
  year: 2002
  article-title: Computerized quantitative color analysis for histological study of pulmonary fibrosis
  publication-title: Anticancer Res
– volume: 27
  start-page: 185
  year: 1990
  article-title: Islet isolation assessment in man and large animals
  publication-title: Acta Diabetol Lat
– volume: 5
  start-page: 38
  year: 2008
  article-title: How to use image analysis for islet counting
  publication-title: Rev Diabet Stud
– volume: 82
  start-page: 808
  year: 2004
  article-title: Computer image analysis for measuring lean and fatty areas in cross‐sectioned dry‐cured hams
  publication-title: J Anim Sci
– start-page: 115
  year: 2007
– volume: 52
  start-page: 450
  year: 1991
  article-title: In vitro staining of islets of Langerhans for fluorescence‐activated cell‐sorting
  publication-title: Transplantation
– volume: 113
  start-page: 51
  year: 2002
  article-title: An objective procedure for ischemic area evaluation of the stroke intraluminal thread model in the mouse and rat
  publication-title: J Neurosci Methods
– start-page: 1
  year: 1998
– volume: 16
  start-page: 58
  year: 2005
  article-title: A simple and fast densitometric method for the analysis of tyrosine hydroxylase immunoreactivity in the substantia nigra pars compacta and in the ventral tegmental area
  publication-title: Brain Res Protoc
– volume: 29
  start-page: 79
  year: 1980
  article-title: An improved technique for the isolation and identification of mammalian islets of Langerhans
  publication-title: Transplantation
– ident: e_1_2_6_17_2
  doi: 10.1900/RDS.2008.5.38
– ident: e_1_2_6_2_2
  doi: 10.1046/j.1463-1326.2001.00138.x
– ident: e_1_2_6_8_2
  doi: 10.1007/s002689900155
– ident: e_1_2_6_13_2
  doi: 10.1016/S0041-1345(97)01314-6
– volume: 142
  start-page: 311
  year: 1997
  ident: e_1_2_6_9_2
  article-title: Computerized determination of proliferating cell nuclear antigen expression in meningiomas. A comparison with non‐automated method
  publication-title: Gen Diagn Pathol
  contributor:
    fullname: Konstantinidou A
– ident: e_1_2_6_14_2
  doi: 10.3727/000000003783985214
– ident: e_1_2_6_7_2
  doi: 10.1097/00007890-199109000-00010
– ident: e_1_2_6_21_2
  doi: 10.1016/j.brainresprot.2005.10.002
– volume: 21
  start-page: 951
  year: 2006
  ident: e_1_2_6_10_2
  article-title: Plasma cell quantification in bone marrow by computer‐assisted image analysis
  publication-title: Histol Histopathol
  contributor:
    fullname: Went P
– volume-title: International Conference on Harmonization (ICH) of Technical Requirements for Registration of Pharmaceuticals for Human Use Guidelines. January
  year: 2008
  ident: e_1_2_6_6_2
– ident: e_1_2_6_15_2
  doi: 10.3727/000000003108746713
– ident: e_1_2_6_16_2
  doi: 10.1016/S0963-6897(98)00017-7
– ident: e_1_2_6_23_2
  doi: 10.1006/jmcc.1997.0624
– ident: e_1_2_6_19_2
  doi: 10.1016/S0165-0270(01)00476-9
– ident: e_1_2_6_20_2
  doi: 10.1016/S0165-0270(03)00023-2
– ident: e_1_2_6_3_2
  doi: 10.3109/9781420016512-7
– ident: e_1_2_6_5_2
  doi: 10.1007/BF02581331
– volume: 22
  start-page: 3889
  year: 2002
  ident: e_1_2_6_18_2
  article-title: Computerized quantitative color analysis for histological study of pulmonary fibrosis
  publication-title: Anticancer Res
  contributor:
    fullname: Carai A
– ident: e_1_2_6_4_2
  doi: 10.1097/00007890-198001000-00019
– ident: e_1_2_6_11_2
  doi: 10.1088/0031-9155/47/8/303
– start-page: 1
  volume-title: The Landscape of Qualitative Research
  year: 1998
  ident: e_1_2_6_12_2
  contributor:
    fullname: Denzin N
– ident: e_1_2_6_22_2
  doi: 10.2527/2004.823808x
SSID ssj0016165
Score 2.1273742
Snippet Kissler HJ, Niland JC, Olack B, Ricordi C, Hering B J, Naji A, Kandeel F, Oberholzer J, Fernandez L, Contreras J, Stiller T, Sowinski J, Kaufman DB. Validation...
Quantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic...
BACKGROUNDQuantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a...
SourceID pubmedcentral
proquest
crossref
pubmed
pascalfrancis
wiley
istex
SourceType Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage 236
SubjectTerms Biological and medical sciences
Cell Separation - methods
Cell Size
Delphi Technique
Flow Cytometry
Fundamental and applied biological sciences. Psychology
Fundamental immunology
Humans
image analysis
Image Processing, Computer-Assisted - methods
Islets of Langerhans
Islets of Langerhans - cytology
Islets of Langerhans Transplantation - methods
Medical sciences
quality control
Reproducibility of Results
Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases
Tissue, organ and graft immunology
Title Validation of methodologies for quantifying isolated human islets: an islet cell resources study
URI https://api.istex.fr/ark:/67375/WNG-GQD9DS8S-8/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fj.1399-0012.2009.01052.x
https://www.ncbi.nlm.nih.gov/pubmed/19719726
https://search.proquest.com/docview/733594943
https://pubmed.ncbi.nlm.nih.gov/PMC3166241
Volume 24
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB6hcuHCQ7xSoPIBccsqjh9JuKEubYVEJdoFegtObItqpSxsdqWKX8-MnQ0N9IAQN0exo3gyY3-OP38D8DLjRjSet2krnEyl9CotW6fSzLWyVFb4KLHx_lSffJTvLtTFwH-iszBRH2L84UaREcZrCnDT9NMgF3SCHkfYQXYSoUI-IzzJRUHsrvnZqCSFuCZklSQWYkrT8pTUc-ODJjPVbTL6FTEnTY_G8zHrxU2w9E925XXUG6ato3uw3HU4slWWs-2mmbU_ftOC_D8WuQ93B3TL3kR3fAC3XPcQvnxCrB9TN7GVZzFndRhzXc8QM7PvW0OUJTpwxS4xFhD-WhaSB-Il-lX_mu2KjDYa2HrYc-hZUMd9BIujt4vDk3RI7JC2SvI8tQhLrBCZJTEhp0UruLdFlVmbO2WbPLPoOTrDO5bjdWm9Q5hhM1VihUqIx7DXrTr3FJh0uqgaK0ljUVa8Mcbj-o5rI6QuG28T4LtvWH-L8h31tWUPmotIfTkl48QSmau-SuBV-NhjA7NeEv2tUPXn0-P6-MO8mp-X53WZwMHEG8YGOa3icJmfANu5R41RSxYynVtt-7oQQlWykiKBJ9Fbfr1eVVAqOJ1AMfGjsQIJgk_vdJdfgzC44FojIktABzf56x7Xh4szKu3_a8NncCeyKoib9xz2Nuute4FgbdMchDD8CYaBMos
link.rule.ids 230,315,783,787,888,1378,27936,27937,46306,46730
linkProvider Wiley-Blackwell
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwEB2h9gAXPsRX6Ac-IG5ZxbHjJL1VXdoF2pVoF-jNJLEjqqIsbHalil_fGTsbGugBIW6OEq82kxn7OXl-D-BVxAtR1rwKK2FlKGWdhFllkzCylcwSI2ovsXEyVZOP8t15ct7ZAdFeGK8P0b9wo8pw4zUVOL2QHla5oC30OMR2upOIFeIRAspNrH5BPg7j015LCpGN85UkHmJIE_OQ1nPrLw3mqk0K-xVxJ4sWw1d734vbgOmf_MqbuNdNXIcP4Nv6lj1f5XK0Wpaj6udvapD_KSYP4X4HcNm-z8hHcMc2j-HLJ4T73r2JzWvmbavdsGtbhrCZ_VgVxFqiPVfsAssBEbBhzj8QDzG12j22bjL61sAW3WeHljmB3CcwO3wzO5iEnbdDWCWSx6FBZGKEiAzpCVklKsFrk-aRMbFNTBlHBpNHRXjGcDzOTG0RaZgoyfCCXIinsNHMG_scmLQqzUsjSWZR5rwsihqXeFwVQqqsrE0AfP0Q9Xev4KFvrHwwXMTri8mPE1sULn0VwGv3tPsOxeKSGHBpoj9Pj_TRh3E-PsvOdBbA7iAd-g4xLeRwpR8AW-eHxsKlCBWNna9anQqR5DKXIoBnPl1-_b08JTc4FUA6SKT-AtIEH55pLr46bXDBlUJQFoByefLXd6wPZqfUevGvHV_C3cns5Fgfv52-34J7nmRBVL1t2FguVnYHsduy3HU1eQ2Rijaj
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwEB2hVkJcKBVfKVB8QNyySmLHSbihLtvytYJ2gd5MEttqtVK2bHalil_PjJ1NG-gBIW6OYkfxZMZ-jp_fALyI4pJXNq7DmhsRCmHTMK9NGkamFnmqufUSGx-n8uiLeHeannb8JzoL4_Uh-h9uFBluvKYAv9B2GOScTtDjCNvJTiJUSEaIJ7eFRCBMAOm4l5JCYOPSShINMaR5ecjqufFJg6lqm6x-SdTJskXrWZ_24iZc-ie98jrsdfPWZAfmmx57usp8tF5Vo_rnb2KQ_8ck9-BuB2_Za--Pu3DLNPfh-1cE-z53E1tY5pNWu0HXtAxBM_uxLomzRCeu2DkGA-JfzVz2QLxEx2pfsU2R0U4DW3abDi1z8rgPYDZ5Mzs4CrvMDmGdijgJNeISzXmkSU3ISF7z2OqsiLROTKqrJNLoOjLCOzrG61xbgzhDR2mOFQrOH8JWs2jMY2DCyKyotCCRRVHEVVlaXODFsuRC5pXVAcSbb6guvH6HurbuQXMRqy-hbJxYInOpywBeuo_dNyiXc-K_Zan6Nj1Uh5_HxfgkP1F5APsDb-gbJLSMw3V-AGzjHgrDlixUNmaxblXGeVqIQvAAHnlvuXq9IqNccDKAbOBHfQVSBB_eac7PnDI4j6VESBaAdG7y1z1WB7NjKu39a8PncPvTeKI-vJ2-fwJ3PMOCeHpPYWu1XJtnCNxW1b6LyF-6zDVS
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=Validation+of+methodologies+for+quantifying+isolated+human+islets%3A+an+islet+cell+resources+study&rft.jtitle=Clinical+transplantation&rft.au=KISSLER%2C+H.+J&rft.au=NILAND%2C+J.+C&rft.au=STILLER%2C+T&rft.au=SOWINSKI%2C+J&rft.date=2010-03-01&rft.pub=Wiley&rft.issn=0902-0063&rft.eissn=1399-0012&rft.volume=24&rft.issue=2&rft.spage=236&rft.epage=242&rft_id=info:doi/10.1111%2Fj.1399-0012.2009.01052.x&rft.externalDBID=n%2Fa&rft.externalDocID=22576132
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0902-0063&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0902-0063&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0902-0063&client=summon