PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
We developed a large-scale morphological profiling approach that reads out a multitude of high-resolution biophysical fractal properties of single cells, based on our high-throughput quantitative phase imaging (QPI) platform (at 10,000 cells/sec). We showed that the single-cell morphological profile constructed by the sub-cellular fractal characteristics could be harnessed to implicate cell types and states in the context of identifying lung cancer cell line subtypes, assessing cell morphology in response to drug treatment, and tracking cell cycle progression.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Ziqi Zhang, Kevin Tsia, Kelvin C.M. Lee, Dickson M. D. Siu, Michelle C. K. Lo, Edmund Y. Lam, "High-throughput and high-resolution single-cell biophysical fractometry for functional cell morphological profiling," Proc. SPIE PC12853, High-Speed Biomedical Imaging and Spectroscopy IX, PC128530R (13 March 2024); https://doi.org/10.1117/12.3008474