Welcome to CYTO U!
As ISAC’s online portal for on-demand, peer-reviewed cytometry education, on this site you will have access to multi-module courses, recorded sessions from the CYTO conference, and a regular webinar series. The driving principle for CYTO U is to maximize community access to high quality educational materials on flow and image cytometry as well as shared resource lab (SRL) management.
Due to the built-in security features, you must first create an account with ISAC before accessing the content on the site. This content includes free webinars on CYTO U, which you can access by creating an account as a nonmember. As an ISAC member you will have access to additional content, such as recordings from the annual CYTO meeting and CYTO U courses. If you have not yet registered, please do so here - we would love to have you join our community!
POSTPONED: DATE TBD Mitochondrial Functionality and Metabolism in Human T Cells
CYTO 2019/2020 Recordings Now Available
The CYTO 2019/2020 session recordings are now available on-demand if you weren’t able to attend this year, or if you just want to refresh your memory of the highest-attended annual meeting in ISAC’s history! A total of eleven sessions are available including eight Scientific Tutorials, one Plenary Session, one State-of-the-Art Lecture, and the 2018 Robert Hooke lecture presented by Professor Dayong Jin of the University of Technology Sydney.
To register, click on "CYTO Recordings".
Recently Added On-Demand Webinars
Quality Assessment of Ki67 Staining and Using Cell Line Proliferation Index and Stain Intensity Features
Data Analysis Rigor and Reproducility - Part 1 - Experimental Design: Considerations for Rigor and Reproducibility and Computational Analysis
Photodetection in Flow Cytometry: Key Considerations for the Latest Detectors Including High QE PMTs, APDs and 3rd Generation SiPMs
Multiplexed Fluorescence Microscopy Reveals Heterogeneity Among Stromal Cells in Mouse Bone Marrow Sections
A Guide to Choosing Fluorescent Protein Combinations for Flow Cytometric Analysis Based on Spectral Overlap