A generative AI approach for interference study on chromogenic triplex images

Satarupa Mukherjee; Jim Martin; Yao Nie

doi:10.1117/12.3003890

3 April 2024 A generative AI approach for interference study on chromogenic triplex images

Satarupa Mukherjee, Jim Martin, Yao Nie

Proceedings Volume 12933, Medical Imaging 2024: Digital and Computational Pathology; 1293318 (2024) https://doi.org/10.1117/12.3003890
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

Multiplex brightfield imaging offers the significant advantage ofsimultaneously analyzing multiple biomarkers on a single slide, as opposed to single biomarker labeling on multiple consecutive slides. This potentially enables investigating interactions between biomarkers to be analyzed to gain a better understanding of the tumor microenvironment as well as improved predictive and prognostic abilities.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Satarupa Mukherjee, Jim Martin, and Yao Nie "A generative AI approach for interference study on chromogenic triplex images", Proc. SPIE 12933, Medical Imaging 2024: Digital and Computational Pathology, 1293318 (3 April 2024); https://doi.org/10.1117/12.3003890

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