Early beta waitlist

Automated scratch assay quantification, in your browser.

Upload wound healing assay images and get browser-based scratch assay measurements, figure-ready exports, and methods text for reproducible reporting. Cytomove is designed for cell migration analysis without sending assay images to a server.

Early access for cell migration researchers. No spam.

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Images stay local Methods-oriented output ImageJ workflow alternative

From image to reproducible measurement.

Cytomove focuses on the narrow workflow researchers repeat often: measure wound area, review the segmentation, and export results that are easy to cite and reproduce.

Upload scratch assay images

Start with single time-point wound healing images directly in the browser.

Review detected wound area

Compare the source image with the detected mask before using the measurement.

Export figures and methods

Generate figure-ready outputs and methods text for reproducible reporting.

Built for cautious scientific adoption.

Cytomove is being developed by a cell biologist for researchers who need transparent, repeatable scratch assay measurements before they trust automation.

Assay images stay in the browser

Image analysis is designed to run client-side; waitlist emails are handled separately through Formspree.

Validation is in progress

The current validation plan compares Cytomove measurements with ImageJ/manual reference measurements before beta claims are expanded.

Designed by a cell biologist

Founded by Dr. Zekeriya Duzgun, Giresun University Faculty of Medicine, Medical Biology.