Assessing Tissue Fixation Time and Quality with Label-free Mid Infrared Spectroscopy and Machine Learning.

ABSTRACT: Objectives: This work investigates whether changes in a biospecimen's molecular composition from formaldehyde fixation drive changes in the mid infrared (MID-IR) spectrum. Our ultimate goal was to develop an analytical metrology that could be used to accurately determine the fixation time of a tissue sample as a surrogate to overall tissue quality. Methods: Multiple unstained formalin-fixed paraffin-embedded tissue samples were scanned with an MID-IR microscope to identify a molecular fingerprint of formaldehyde fixation. The fixation specific patterns were then mined to develop a predictive model. A multiple tissue experiment using greater than 100 samples was designed to train the algorithm and validate the accuracy of predicting fixation status. Results

SUBMITTER: Bauer DR 

PROVIDER: S-EPMC10125394 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature