This startup provides an automated microscopy platform that uses AI to capture, segment, and classify infection events in real-time. It helps researchers efficiently identify and analyze interesting biological objects and events, improving the speed and quality of scientific findings.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional microscopy workflows involve manual image acquisition and analysis, which are time-consuming, introduce bias, and limit the scale of data that can be collected, hindering scientific discovery. Researchers often struggle with low throughput, subjective interpretation, and difficulties in identifying rare or transient events at the micro- and nano-scale.
Solution
Cytely provides a data-driven microscopy platform that automates image acquisition, segmentation, and analysis, enabling researchers to efficiently extract quantitative insights from complex biological samples. By combining pioneering algorithms with real-time decision-making, the platform identifies and analyzes critical events that are often missed in manual microscopy. The system intelligently directs the microscope to capture high-resolution data of biologically relevant regions, processes data on-the-fly, and delivers publication-ready figures with complete data provenance. This approach accelerates research, improves data quality, and facilitates the discovery of new insights in cell biology, developmental biology, drug discovery, and neuroscience.
Target Audience
The primary target audience includes researchers in biotech, pharmaceutical, and academic institutions working in cell biology, developmental biology, drug discovery, and neuroscience who require high-throughput, quantitative microscopy data.
Features
- Automated microscope control for autonomous plate imaging across multiple objectives
- Real-time image analysis and segmentation using deep learning algorithms
- High-throughput processing of thousands of cells per experiment
- Multi-parameter analysis correlating nuclear size, cell area, protein localization, and other cellular features
- Cloud-based data storage and accessibility for team collaboration
- Web-based interface for data visualization and analysis
- Direct server upload from microscope computer, eliminating data transfer bottlenecks
- Reproducible output with complete data provenance