University of Michigan

Malavika Chandra

Diane M Simeone

Mary-Ann Mycek

James M Scheiman

Barbara McKenna

Robert H Wilson

Jeremy Taylor

Oliver Lee

Julianne Purdy

William Lloyd

Leng-Chun Chen

Multimodal optical spectroscopy systems and methods produce a spectroscopic event to obtain spectroscopic response data from biological tissue, either ex vivo or in vivo, and compare the response data with a model configured to correlate the measured response data and the most probable attributes of the tissue, thus facilitating classification of the tissue based on those attributes.

Multimodal spectroscopic systems and methods for classifying biological tissue

Multimodal optical spectroscopy systems and methods produce a spectroscopic event to obtain spectroscopic response data from biological tissue and compare the response data with preset criteria configured to correlate the measured response data and the most probable attributes of the tissue, thus facilitating classification of the tissue based on those attributes for subsequent biopsy or remedial measures as necessary.

Multimodal optical spectroscopy systems and methods produce a spectroscopic event to obtain spectroscopic response data from biological tissue and compare the response data with an empirical equation configured to correlate the measured response data and the most probable attributes of the tissue, thus facilitating classification of the tissue based on those attributes for subsequent biopsy or remedial measures as necessary.

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Lansdale, PA, United States of America

Malavika Chandra