Prof. Sarah E. Bohndiek
Professor of Biomedical Physics at Univ of Cambridge
SPIE Involvement:
Conference Program Committee | Author | Instructor | Student Chapter Advisor | Special Event Speaker
Publications (65)

SPIE Journal Paper | 20 December 2023 Open Access
JBO, Vol. 29, Issue S1, S11506, (December 2023)
KEYWORDS: Skin, Blood, Photoacoustic spectroscopy, Oxygenation, Monte Carlo methods, Tissue optics, Photoacoustic imaging, Oximetry, Image restoration, Reflectivity

Proceedings Article | 17 March 2023 Presentation
Proceedings Volume PC12363, PC123630N (2023)
KEYWORDS: Imaging spectroscopy, Spectral calibration, Calibration, Blood circulation, Blood, Oxygen, Lithography, Tissues, Microfluidics, Light sources

Proceedings Article | 17 March 2023 Presentation
Proceedings Volume PC12363, PC1236301 (2023)
KEYWORDS: Cancer, Multispectral imaging, Image resolution, Visualization, Stomach, Ovarian cancer, Optical resolution, Optical imaging, Optical coherence tomography, Multiphoton microscopy

Proceedings Article | 17 March 2023 Presentation
Proceedings Volume PC12361, PC1236105 (2023)
KEYWORDS: Multispectral imaging, Endoscopy, Cameras, Cancer, Optical filters, Near infrared, Diagnostics, RGB color model, Luminescence, Imaging systems

Proceedings Article | 16 March 2023 Presentation
Proceedings Volume PC12387, PC1238707 (2023)
KEYWORDS: Cancer, Detector arrays, Multispectral imaging, Colon, Tissues, Reflectivity, Esophagus, Endoscopy, Cameras, Surveillance

Showing 5 of 65 publications
Conference Committee Involvement (4)
Photons Plus Ultrasound: Imaging and Sensing 2024
28 January 2024 | San Francisco, California, United States
Photons Plus Ultrasound: Imaging and Sensing 2023
29 January 2023 | San Francisco, California, United States
Photons Plus Ultrasound: Imaging and Sensing 2022
23 January 2022 | San Francisco, California, United States
Photons Plus Ultrasound: Imaging and Sensing 2021
6 March 2021 | Online Only, California, United States
Course Instructor
A biomarker is a “defined characteristic that is measured as an indicator of normal biological processes, pathogenic processes, or responses to an exposure or intervention”. New sensing technologies seek to measure biomarkers, usually with the goal of improving patient management, however, there remains a widespread misunderstanding over how biomarkers can be used in the context of biomedical imaging. This course covers the basics of imaging biomarkers from the perspective of biomedical optics. The course will underscore the importance of accurately defining and validating imaging biomarkers, drawing on examples from standard radiological imaging modalities as well as emerging optical modalities. Using several interactive activities, attendees will see examples of: how imaging biomarkers are currently used in clinical practice; the pitfalls often encountered when introducing new biomarkers; and where novel optical imaging biomarkers have the potential to impact future patient care.
SC1291: Biomedical Image Analysis: An Introduction
Our community generates a vast amount of biomedical imaging data, ranging from super-resolution microscopy images on the nanometre scale, to diffuse optical tomography images on the millimetre scale. These data are increasingly complex, requiring quantitative analysis to extract imaging biomarkers, rather than simply visual interpretation. This course explains basic principles and applications of analysis techniques for biomedical imaging data, using several hands-on practical examples based on Fiji (ImageJ). <p> </p> We will begin by examining the general principles of evaluating image quality and information content, by introducing important concepts such as contrast and modulation transfer. We will then consider how to process images containing noise or artifacts, for example, with the application of simple filters. Finally, we will discuss how best to identify appropriate regions of interest and measure a range of parameters from these that allow us to perform quantitative image analysis, considering precision and accuracy of our data. Anyone who wants to better understand their imaging data and develop skills in applying image processing software will benefit from taking this course.
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