New funding will expand Cytely’s smart‑microscopy platform, moving research from linear progress to self-accelerating discovery.

Smart microscopy is transforming life sciences by automating experimental imaging workflows and enabling real-time adaptation based on feedback from images and other data streams. This shift increases throughput, improves reproducibility, and expands the functional capabilities of microscopes

Analyzing cell populations in whole blood is a fundamental yet challenging task. Even after standard preparation steps, samples often contain mixed populations of leukocytes, platelets, and red blood cells (RBCs). Cytely enables researchers to rapidly identify and quantify these populations at the single-cell level. Through scatter plots and intuitive gating, different blood cell types can be distinguished and characterized in an unbiased, interactive workflow. Key features demonstrated in this note: Visualizing heterogeneity across a mixed cell population Identifying populations (neutrophils, platelets, RBCs) using scatter plots Gating to isolate neutrophil subsets

Here we look at a basic blood sample stained for nuclei, cytosol, and membrane. We easily gated out RBCs and platelets by their lack of nuclear signal and smaller size, while neutrophils popped out with their strong nuclear and cytosolic staining. Ordinarily, you’d need multiple antibodies or RBC lysis to achieve this separation, but with Cytely, you can do it in a single workflow, preserving your sample’s spatial context and completing the entire analysis in a matter of minutes.

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How Cytely Redefined Cancer Mechanobiology Research for Swathi's Fibroblast Studies

See the whole interview here: https://www.youtube.com/watch?v=NeQA7erg8bo

In microscopy, the transition from qualitative observation to quantitative data is a significant challenge. Manual analysis is susceptible to user bias and is impractical for large datasets, while many automated solutions can obscure the connection between the quantitative data and the original visual context. Cytely is a web-based tool designed to address these challenges by integrating automated image segmentation with interactive data exploration. It provides a structured workflow for deriving quantitative metrics from cell populations and linking those metrics back to their source images in real-time.