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Application of quantitative phase imaging mass accumulation measurements to research and clinical problems in cancer
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Paper Abstract

The robustness of Quantitative Phase Imaging (QPI) has enabled QPI to be used in applications to answer both research and clinical questions. QPI requires no labels, is non-destructive, and has nanoscale sensitivity to 3-d morphology. Various applications have included recording cellular force dynamics, identifying parasite-infected red blood cells, detecting cancer prognosis from colon cancer samples, and most recently predicting therapeutic sensitivity from live cell biomass accumulation measurements in patient derived xenograft (PDX) mice. However, challenges remain for clinical adoption, as QPI-based methods must first be proven more effective than current standards of care and patient inconvenience and costs must be minimized. Here we applied basic upgrades to previously described High Speed Live Cell Interferometry (HSLCI) to predict in vivo and in vitro PDX mouse tumor sensitivity to a range of cancer drugs from only Fine Needle Biopsy of the tumor. As demonstrated by our group and many others, the applications of QPI are not limited to the clinical realm. Using HSLCI, we revealed the growth dynamics of senescent and control H460 lung large cell carcinoma cells treated with cancer chemotherapy. The continued improvements in optics and throughput of QPI promise to answer many more clinical and basic science questions.

Paper Details

Date Published: 4 March 2019
PDF: 11 pages
Proc. SPIE 10887, Quantitative Phase Imaging V, 108871E (4 March 2019); doi: 10.1117/12.2514597
Show Author Affiliations
Graeme F. Murray, Virginia Commonwealth Univ. (United States)
Tia Turner, Virginia Commonwealth Univ. (United States)
Tareq Saleh, Virginia Commonwealth Univ. (United States)
Mohammad Alzubi, Virginia Commonwealth Univ. (United States)
Amir Toor, Virginia Commonwealth Univ. (United States)
David A. Gewirtz, Virginia Commonwealth Univ. (United States)
J. Chuck Harrell, Virginia Commonwealth Univ. (United States)
Jason Reed, Virginia Commonwealth Univ. (United States)

Published in SPIE Proceedings Vol. 10887:
Quantitative Phase Imaging V
Gabriel Popescu; YongKeun Park, Editor(s)

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