News

At the frontier of photonics, biology and artificial intelligence lies the future of life science. In a recent paper from the Université Côte d'Azur, researchers combine Quantitative Phase Images with a new supervised autoencoder to classify cells population based on the cell cycle. Images acquired with a Phasics SID4Bio QPI camera allows to increase the classification accuracy of cells present in the mitotic phase of the cell cycle.

Read the full article here: https://hal.archives-ouvertes.fr/hal-03364377

Learn more about PHASICS applications in life science here: https://www.phasics.com/en/application-markets/microscopy/life-science/

In the illustration (courtesy of Philippe Pognonec, Axel Gustovic, Zied Djabari, Thierry Pourcher, Michel Barlaud): 

• Panel A: Fluorescence labeling of nuclei,
• Panel B: Phase imaging. The arrows point to cells in the M phase, clearly visualized with both fluorescence and phase imaging.