Bring acquisition and analysis together.
Fluorescence, advanced microscopy, time-series analysis and experimental signal processing, informed by instrument constraints.
Each application starts with the sample, the instrument and the decisions the imaging must support.
Explore the device and examination views →
Compact imaging hardware with integrated acquisition, computational processing and AI-assisted review. Our documented pilot relationship is with Regency Hospital, Kanpur.

Microcamera arrays can capture a wide specimen area through many small imaging channels. The planned Spum application connects acquisition to live stitching, image quality checks and local model inference.
The underlying imaging research is published: Vinayak Pathak coauthored work demonstrating MCAM configurations, including large histopathology composites. That research is distinct from a completed Spum pathology scanner.
Parallel camera channels
Geometry and illumination
Live reconstruction research
Local AI image review
Traceable human decisions
Fluorescence, advanced microscopy, time-series analysis and experimental signal processing, informed by instrument constraints.
Native language and image-model inference, local serving and MIDI continuation. Explore supported models, measured performance and integration status.
Explore Spum →We also discuss instrument software and vision engineering beyond biomedical settings when they fit our technical capabilities.
Discuss a project →