CytoScope counts, recognises and tracks cells in 2D, 3D and over time, in one tool and with no coding. Every result comes with a confidence level, so you only review what really needs your eyes.
Founded by students at Humanitas University & Politecnico di Milano
Microscope images are growing faster than the tools to analyse them. Following cells over time is still an open research problem, so much of the counting and checking is still done by hand, and manual annotation is subjective.
Manual annotation is slow, labour-intensive and subjective, so researchers can't be fully sure of their own numbers.[5, 6]
Count, recognise and track cells in 2D, 3D and over time, in a single tool, with no coding experience needed.
Every cell and every track gets a confidence level, so you review the uncertain ones first, not everything.
Your corrections improve the model, and every result stays traceable, so any analysis can be repeated.
We start with imaging facilities: shared microscope centres that each support on average 200 researchers from 55 lab groups a year, and report not having enough capacity to meet image-analysis demand.[2] The rise of organoids and other 3D tissue models makes the gap bigger every year.
Hands-on research experience uncovered the need behind CytoScope; computational problem-solving and entrepreneurial drive are turning it into a tool for the life sciences.
MEDTEC student. Computational and research skills. Neuroscience research intern at Humanitas University and LMU Munich.
MEDTEC student. Computational and research skills. Undergraduate research internship at the University of Helsinki.
MEDTEC student. Creative thinking, initiative and entrepreneurship.
We're looking for pilot labs to test CytoScope on real datasets. Tell us how you analyse your images today.