Celsus. Digital Pathology

MVP
AI-Solution for digital slides of lymph node analysis

Research work with the Nizhny Novgorod oncological dispensary

Analysis

The system identifies malignant cell mitosis in the histological slides
of lymph nodes

Interpretation

The system calculates the cancer
probability
 based on the quantity
of detected abnormal cells

Speed

Research is processed <10 minutes

Accuracy

The stage of testing and calculating representative metrics on wide datasets

Analysis

The system identifies malignant cell mitosis in the histological slides
of lymph nodes

Interpretation

The system calculates the cancer
probability
 based on the quantity
of detected abnormal cells

Speed

Research is processed <10 minutes

Accuracy

The stage of testing and calculating representative metrics on wide datasets

Issues

Histological analysis is necessary for accurate cancer diagnosis: it helps to classify the type of neoplasm and determine its characteristics. It is important to conduct analysis as soon as possible. However, at the moment the waiting time for the results of the results takes from a week to a month. In addition, to make histological analysis is not possible in all regions.

These problems can be solved with Celsus. Analysis can be carried out from anywhere in the world, saving specialists time and costs for the physical movement of biomaterials.

How it works

Digitizing specimen

After sampling, the specimen is scanned and digitized for transmission as a dataset

Digital slides analysis

The scanned sample is displayed on the screen, the pathologist analysis the tissue fragment

Celsus assistance

Celsus finds areas with abnormal cells, which speeds up the research process, reduces the risk of inaccurate diagnosis and reduces the burden on doctors

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