CANCOL, a Computer-Assisted Annotation Tool to Facilitate Colocalization and Tracking of Immune Cells

Bellinzona, February 22, 2022 – Four-dimensional imaging data obtained via two-photon intravital microscopy (2P-IVM) are classically analyzed by performing automated cell tracking, a procedure that computes the trajectories followed by each cell. Artificial intelligence (AI) methods are crucial in this analysis process.  However, AI can generate detrimental results when applied in biomedical research without considering the complexity beneath biomedical data. In this study, result of a collaboration between the group of Santiago González at the IRB and the group of Rolf Krause at the Euler institute, we developed CANCOL: a new method based on computer-assisted annotation that facilitates the application of AI to analyze the migration and interaction of immune cells in intravital 2-photon microscopy videos.

Article

CANCOL, a Computer-Assisted Annotation Tool to Facilitate Colocalization and Tracking of Immune Cells in Intravital Microscopy.

Pizzagalli, D. U., J. Bordini, D. Morone, A. Pulfer, P. Carrillo-Barbera, B. Thelen, K. Ceni, M. Thelen, R. Krause and S. F. Gonzalez

J Immunol. 2022;