The sixth annual CytoData meeting will be virtually hosted by bit.bio 13-15 October, 2021!
CytoData unites microscopists and researchers mining cell imaging data to define novel and unique ways to tackle challenges in image analysis.
Since 2016 CytoData events have proven incredibly exciting and we hope to replicate the virtues of this meeting once again in 2021!
The meeting is composed of four sessions including Methods, Primary cells, Stem cells, and others, all featuring 10-minute talks. We have a fantastic line-up of invited speakers ready to be announced, so PLEASE register and keep a close eye on your inbox!
Along with our invited speakers, we encourage both budding image analysts and veterans in the field to submit an abstract.
https://www.bit.bio/cytodata-2021-register (scroll down to bottom)
Lorenzo Veschini, a member of the Viral Pandemics working group will be presenting.
Understanding healthy and pathological tissue development and functions requires measuring cell molecular signalling, movements, and interactions. Gold standard single cells NGS allows evaluating cell transcriptome and metabolism with great depth and have highlighted the extent of cell heterogeneity within tissues. However, current NGS technologies fail to capture spatial relationships and dynamic phenotypic changes in cells within tissues. Image analysis techniques powered by machine learning allows capturing spatial relationships among cells and evaluating cellular crosstalk. Imaging data are also translatable to multiscale in silico tissue simulations to estimate dynamics of cell movements and molecular crosstalk.
We have developed an open-source platform, the endothelial cells profiling tool (EC-PT), to measure individual EC phenotype within endothelia. ECPT includes tools to measure spatial autocorrelation of features such as NOTCH signalling at single cell level allowing to estimate dynamic molecular crosstalk between neighbouring EC and across the whole endothelium. ECPT seamlessly integrates with the multiscale cellular simulation environment Compucell3D.
We will present new data demonstrating previously unappreciated degrees of EC heterogeneity within the same EC monolayer suggesting a high degree of plasticity. Simulations of NOTCH signalling in EC monolayer suggest that such heterogeneity is the result of dynamic single cells phenotypic adjustments at multiple timescales.