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.
Recent advances in optical microscopy have revolutionized our ability to visualize multifaceted morphological signatures (biophysical & molecular) of cells without the onerous and destructive sample handling commonly used in molecular profiling. This talk will cover our latest developments in combining ultrahigh-throughput microfluidic single-cell imaging (at a throughput up to 100,000 cells/sec) with different supervised/unsupervised image analytic strategies for crafting large-scale morphological “fingerprints” (profiles) of single cells. The talk will further discuss the new opportunities and challenges of how to integrate this rapidly growing image-based repertoire with the single-cell multi-omics data - altogether formulating holistic and integrative single-cell analysis strategies for dissecting the complex biological system.
Kevin K. Tsia
"Deep-learning image-based biophysical cytometry (Conference Presentation)", Proc. SPIE PC12390, High-Speed Biomedical Imaging and Spectroscopy VIII, PC123900N (16 March 2023); https://doi.org/10.1117/12.2672695
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.
Kevin K. Tsia, "Deep-learning image-based biophysical cytometry (Conference Presentation)," Proc. SPIE PC12390, High-Speed Biomedical Imaging and Spectroscopy VIII, PC123900N (16 March 2023); https://doi.org/10.1117/12.2672695