Spectral image microscopy for label-free blood and cancer cell identification

摘要

New forms of cancer cell identication coupled with faster detection and better accuracy may enhance diagnosticcapabilities. The purpose of this study is to improve recognition of minimal residual disease from peripheral bloodsamples. Spectral images are generated by optical microscopy using filtered broadband visible light elasticallyscattered from human blood and cancer cells. Exogenous tags, like CD markers may introduce a label bias andare not required. A training cell may be validated without detailed knowledge of intra-cellular spectra used toclassify random cells. Spectral object classication is scalable to any number of cell types. Small samples oferythrocytes, leukocytes, Jurkat cancer and non-small lung cell adenocarcinoma are accurately classified andassociated with unique spatial-spectral characteristics.