Robotically Controlled Terahertz Probe for In Vivo Skin Evaluation: Imaging with the PicoBot

In this work, we demonstrate significant modifications to our robotically controlled terahertz (THz) sensing system, the “PicoBot,” enabling it to perform in vivo imaging of skin rather than limiting it to single-point measurements. By integrating a robotic arm equipped with force-sensitive feedback...

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Published inJournal of infrared, millimeter and terahertz waves Vol. 46; no. 6; p. 36
Main Authors Young, Jacob J., Agarwal, Agrima, Page, Benjamin G., Dogra, Anubhav, Hernandez-Serrano, Arturo I., Hardwicke, Joseph, Pickwell-MacPherson, Emma
Format Journal Article
LanguageEnglish
Published New York Springer US 01.06.2025
Springer Nature B.V
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Abstract In this work, we demonstrate significant modifications to our robotically controlled terahertz (THz) sensing system, the “PicoBot,” enabling it to perform in vivo imaging of skin rather than limiting it to single-point measurements. By integrating a robotic arm equipped with force-sensitive feedback control, we maintain consistent contact pressure between the probe and the skin surface throughout imaging. In conjunction with this hardware advancement, we introduce an accompanying image analysis pipeline that reduces noise and enhances repeatability across scans. These improvements allow for reliable intra- and inter-subject comparisons, a critical step toward the clinical utility of THz imaging. Our ultimate aim is to use THz imaging to detect skin cancer margins: this paper highlights progress towards this goal and skin evaluation in general.
AbstractList In this work, we demonstrate significant modifications to our robotically controlled terahertz (THz) sensing system, the “PicoBot,” enabling it to perform in vivo imaging of skin rather than limiting it to single-point measurements. By integrating a robotic arm equipped with force-sensitive feedback control, we maintain consistent contact pressure between the probe and the skin surface throughout imaging. In conjunction with this hardware advancement, we introduce an accompanying image analysis pipeline that reduces noise and enhances repeatability across scans. These improvements allow for reliable intra- and inter-subject comparisons, a critical step toward the clinical utility of THz imaging. Our ultimate aim is to use THz imaging to detect skin cancer margins: this paper highlights progress towards this goal and skin evaluation in general.
In this work, we demonstrate significant modifications to our robotically controlled terahertz (THz) sensing system, the "PicoBot," enabling it to perform in vivo imaging of skin rather than limiting it to single-point measurements. By integrating a robotic arm equipped with force-sensitive feedback control, we maintain consistent contact pressure between the probe and the skin surface throughout imaging. In conjunction with this hardware advancement, we introduce an accompanying image analysis pipeline that reduces noise and enhances repeatability across scans. These improvements allow for reliable intra- and inter-subject comparisons, a critical step toward the clinical utility of THz imaging. Our ultimate aim is to use THz imaging to detect skin cancer margins: this paper highlights progress towards this goal and skin evaluation in general.In this work, we demonstrate significant modifications to our robotically controlled terahertz (THz) sensing system, the "PicoBot," enabling it to perform in vivo imaging of skin rather than limiting it to single-point measurements. By integrating a robotic arm equipped with force-sensitive feedback control, we maintain consistent contact pressure between the probe and the skin surface throughout imaging. In conjunction with this hardware advancement, we introduce an accompanying image analysis pipeline that reduces noise and enhances repeatability across scans. These improvements allow for reliable intra- and inter-subject comparisons, a critical step toward the clinical utility of THz imaging. Our ultimate aim is to use THz imaging to detect skin cancer margins: this paper highlights progress towards this goal and skin evaluation in general.
ArticleNumber 36
Author Hernandez-Serrano, Arturo I.
Page, Benjamin G.
Dogra, Anubhav
Young, Jacob J.
Pickwell-MacPherson, Emma
Agarwal, Agrima
Hardwicke, Joseph
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Issue 6
Keywords In vivo
Terahertz
Skin evaluation
Imaging
Skin cancer
Language English
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SubjectTerms Classical Electrodynamics
Contact pressure
Electrical Engineering
Electronics and Microelectronics
Engineering
Feedback control
Hydration
Image analysis
Instrumentation
Patients
Radiation
Robot arms
Robotics
Signal to noise ratio
Skin cancer
Skin diseases
Title Robotically Controlled Terahertz Probe for In Vivo Skin Evaluation: Imaging with the PicoBot
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