Industry/Technology: AI (Artificial Intelligence), Computer Vision (CV), MedTech, Machine learning (ML)
Region – Europe
Region – Europe (Russia)
Founded: 2019
Technology: Computer Vision, Artificial Intelligence, Machine Learning, Digital Microscopy, Laboratory Automation
Value
- Celly allows laboratories to digitize existing microscopes without investing in a dedicated high-end slide scanner, using an iPhone and microscope adapter.
- AI automates repetitive microscopy tasks such as cell counting, morphology recognition, parasite detection, and slide scanning, reducing the amount of manual work required from laboratory specialists.
- Digitized slides and analysis reports can be stored in the cloud and reviewed remotely, supporting telepathology, expert consultations, quality control, and laboratory education.
- The project also offers a motorized microscope stage for automatic slide positioning, sequential scanning of multiple slides, and barcode reading, extending the platform from AI analysis to end-to-end microscopy automation.
Problem solving
- Celly is developing an AI-powered microscopy platform that transforms conventional laboratory microscopes into digital diagnostic systems using an iPhone-based imaging setup.
- Celly combines automated slide scanning, computer vision, and AI-based image analysis to locate and classify cells, detect abnormalities, and generate digital reports in real time.
- The platform is being applied to hematology, malaria detection, pap smear analysis, histology, karyotyping, stool analysis, and veterinary diagnostics, with additional applications under development.
Achievements
- The platform currently supports applications including automated WBC differential counts, malaria parasite detection, pap smear analysis, histology, karyotyping, stool analysis, and veterinary microscopy.