6:00 PMCytely is a web-based image analysis platform that turns microscopy images into quantitative, single-cell data, in seconds, not hours. Researchers upload their fluorescence microscopy images and Cytely automatically detects and segments thousands of individual cells, measuring morphology (area, circularity, axis lengths) and fluorescence intensity across multiple channels. From there, interactive scatter plots let users gate and filter cell populations visually — the same logic as flow cytometry, but applied directly to imaging data, with full spatial context preserved. What makes Cytely different is the real-time link between data and image. Every dot on a scatter plot corresponds to a real cell. Gate a subpopulation and you instantly see each cell as a thumbnail and highlighted on the original image. This lets researchers explore, quantify, and visually validate their findings in a single workflow — no programming, no plugins, no stitching together separate tools. Cytely is purpose-built for academic biomedical researchers studying treatment effects on cultured cell populations. Common applications include phagocytosis assays, rare cell identification, dividing cell detection, and cell population characterization. It handles datasets of 1,000 to 100,000 objects per sample and works with standard fluorescence microscopy file formats. The platform is designed so that anyone with biological knowledge and a web browser can perform rigorous, reproducible image analysis — without needing to write code or learn complex software. Cytely eliminates the bottleneck between acquiring images and extracting insight, so researchers can spend less time on analysis and more time on discovery.