Mitotic figure countingin breast H&E

Counting mitoses by hand is slow and varies between readers. Aiosyn Mitosis Breast uses artificial intelligence to detect mitotic figures across the whole-slide image before the case is opened.

Aiosyn Mitosis Breast is for research use only.

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Detection across the whole-slide image, not a sampled field
Validated in a multi-center clinical study

A breast section at low magnification in a pathology viewer, with every mitotic figure detected by Aiosyn Mitosis Breast marked in green across the whole slide.

Every mitosis, found before the case is opened

Drag the handle across a single H&E field. The mitotic figures a pathologist has to search for are already marked, so the work becomes faster and more reproducible.

One field of a breast H&E section. Left: the stained tissue as the pathologist sees it. Right: the mitotic figures Aiosyn Mitosis Breast detected in the same field.

Consistency, and time back on every case

Mitotic counting is slow, subjective work that breast grading depends on. With Aiosyn Mitosis Breast, pathologists are faster and agree more with each other.

Less time on the slowest step
Reviewing detections replaces searching for them. Pathologists spend their time confirming a count rather than hunting across fields for the figures to count.
More consistent grading
Mitotic count is one of the most variable parts of breast grading. Detection is reproducible, so every reader starts from the same set of candidates.
The whole section, every slide
Detection runs across every field of the whole-slide image, so a long series is read the same way from the first slide to the last.

Measured with 28 pathologists

Aiosyn Mitosis Breast was validated in an independent multi-center clinical study run at Radboud university medical center, with certified pathologists reading breast biopsies and resections both with and without algorithm support.

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Aiosyn Mitosis Breast