Cancel-Cell Label-Free Quantitative Imaging
Bold-text authors are OMNI group members.
- S. Ben Baruch, N. Rotman-Nativ, A. Baram, H. Greenspan, and N. T. Shaked, “Cancer-cell deep-learning classification by integrating quantitative-phase spatial and temporal fluctuations,” Cells [IF 6.6], Vol. 10, No. 12, 3353 2021. IF 6.6 [Link].
- N. Nissim, M. Dudaie, I. Barnea, and N. T. Shaked, “Real-time stain-free classification of cancer cells and blood cells using inteferometric phase microscopy and machine learning,” Cytometry A, Vol. 99, Issue 5, pp. 511-523, 2021 [Link].
- M. Dudaie, N. Nissim, I. Barnea, T. Gerling, C. Duschl, M. Kirschbaum, and N. T. Shaked, “Label-free discrimination and selection of cancer cells from blood during flow using holography-induced dielectrophoresis,” Journal of Biophotonics, e202000151, 2020 [Link].
- N. Turko, I. Barnea, O. Blum, R. Korenstein, and N. T. Shaked, “Detection and controlled depletion of cancer cells using photothermal phase microscopy,” Journal of Biophotonics, Vol. 8, Issue 9, pp. 755-763, 2015. Early-view version is available online from November 2014 [Link].
- D. Roitshtain, L. Wolbromsky, E. Bal, H. Greenspan, L. Satterwhite, and N. T. Shaked, “Quantitative phase microscopy spatial signatures of cancer cells,” Cytometry Part A, Vol. 91, Issue 5, pp. 482-493, 2017 [Link].
- Y. Bishitz, H. Gabai, P. Girshovitz, and N. T. Shaked, “Optical-mechanical signatures of cancer cells based on fluctuation profiles measured by interferometry,” Journal of Biophotonics, Volume 7, Issue 8, Pages 624-630, 2014. Published online in 2013 [Link].
- N. Rotman-Nativ and N. T. Shaked, “Live cancer cell classification based on quantitative phase spatial fluctuations and deep learning with a small training set,” Accepted to Frontiers in Physics, 2021 [Link].
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S. Ben Baruch, N. Rotman-Nativ, A. Baram, H. Greenspan, and N. T. Shaked, “Cancer-cell deep-learning classification by integrating quantitative-phase spatial and temporal fluctuations,” Cells, Vol. 10, No. 12, 3353 2021. IF 6.6 [Link].