CytoScope brings cell image analysis into one simple tool, with no coding needed, so researchers spend less time on manual work and can trust their results.
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]
Less time on repetitive image work and more time for research, with no coding experience needed.
Clear, transparent results that you can check at a glance and rely on.
Every result stays transparent, so any analysis can be reviewed and repeated.
And more on the way, built together with the researchers who use it.
Microscopy is at the heart of modern biology, and the amount of image data keeps growing. We want to support the people and the facilities behind that work.
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.