Accelerating Cancer Histopathology Workflows with Chemical Imaging and Machine Learning.

ABSTRACT: Histopathology has remained a cornerstone for biomedical tissue assessment for over a century, with a resource-intensive workflow involving biopsy or excision, gross examination, sampling, tissue processing to snap frozen or formalin-fixed paraffin-embedded blocks, sectioning, staining, optical imaging, and microscopic assessment. Emerging chemical imaging approaches, including stimulated Raman scattering (SRS) microscopy, can directly measure inherent molecular composition in tissue (thereby dispensing with the need for tissue processing, sectioning, and using dyes) and can use artificial intelligence (AI) algorithms to provide high-quality images. Here we show the integration of SRS microscopy in a pathology workflow to rapidly record chemical information from minimally processed fresh-f

SUBMITTER: Falahkheirkhah K 

PROVIDER: S-EPMC10506535 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature