Empowering pathologists and scientists

with web software and artificial intelligence (AI)


Save lives!

Your knowlegde and experience is indispensable. Make diagnoses faster and be able to provide help for more patient.

Save time and money!

Save whole slides from microscope using PathoCam software and camera.  Solution comes just at a fraction of a digital slide scanners cost.

Freely draw on the sample

Measure and annotate the regions of interest on the whole sample to generate reliable results!

View slides in browser – even on mobile

Easily view samples in your browser with the help of our tools like zoom, draw, annotate and snapshot.

Advanced sharing

Safely share slides with other Pathologists. Save Whole slide Images and share with anyone anytime for second opinion​ by Google Drive/Link.

Better than human accuracy!

Machine and Deep Learning (AI) algorithms make the process of segmentation and classification easier and much faster than ever before

Firslty, upload pathology images and easily view them in your browser by zooming. Secondly, annotate images and collaborate with other users. Further, use AI modules for support.

Manual Whole Slide Imaging Software to save time and cost. By using your own microscope equipment, you only need to buy a camera and the pathocam whole slide imaging software. That’s just a fraction of a slide scanners cost!

I don’t need to wait for a free scanner and send huge files through an e-mail – the software does all the work for me. By using my own microscope and camera I can reduce the costs and save my time. PathoCam is basically faster, more accurate and cheaper than an ordinary scanner. I’m not forced to use a specific computer. Since the samples are stored in the cloud, I can view all my samples on a tablet or laptop from anywhere in the world. I can also consult the samples from my smartphone.
Paweł Kołodziej

MD. Surgical and forensic pathologist

We won MICCAI 2015 and 2016

Medical Image Computing and Computer Assisted 2015

Competitions in the field of “Imaging & Digital Pathology”

  • 1st place in the competition in the Combined Radiology and Pathology Classification (Classification based on images of radiological and histological examinations)
  • 3th place in Segmentation of Nuclei in Pathology Images (segmentation of cells in histological images).

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Our clients