Alchemy provides an automated image‑analysis platform for microscopy that builds custom AI‑driven workflows across fluorescence, brightfield, 2D, 3D and high‑throughput image stacks. The system integrates with existing microscope hardware to ingest raw data, perform segmentation and motion tracking, and output quantitative metrics without manual effort, enabling faster, reproducible analysis for life‑science researchers.
Funding
Funding not disclosed
Founders
Product
Problem
Life‑science researchers often generate large volumes of microscopy images and videos that require manual annotation and analysis, creating bottlenecks and limiting the speed and reproducibility of experiments.
Solution
Alchemy offers an automated image‑analysis platform that builds custom workflows for any microscopy modality, including fluorescence, brightfield, 2D, 3D, and high‑throughput image stacks. The system integrates with existing microscope hardware to ingest raw data, apply AI‑driven segmentation and tracking, and output quantitative measurements without manual intervention. By standardizing analysis pipelines, Alchemy reduces labor, improves data consistency, and accelerates the extraction of biological insights from visual data. Researchers can monitor cell motion, track trajectories, and obtain reproducible metrics directly from the platform’s interface.
Target Audience
Primary users are academic and industry researchers in biology, biomedical engineering, and related life‑science fields who need high‑throughput, reproducible analysis of microscopy images and videos.
Features
- End‑to‑end workflow builder that supports fluorescence, brightfield, 2D, 3D, and multi‑thousand‑image stacks
- AI‑powered cell segmentation and motion tracking for time‑lapse sequences in both 2D and 3D
- Seamless integration with existing microscopy systems for direct image ingestion
- Automated generation of quantitative metrics such as speed, displacement, and trajectory patterns
- Scalable processing pipeline that handles large video datasets without manual effort