Project Overview

A self-learning microscope image analysis tool designed to identify immunofluorescence labeled cells for more efficient diagnostics of tumors. Pre-trained neural network solution able to recognize different types of blood cells by analyzing imagery acquired from microscopes.

Key Features and Highlights

  • Providing the exact location of the target cells in clinical images
  • Drastically cutting the time needed for pathogenic cell identification
  • Improving the accuracy and efficiency of molecular diagnostics
  • Analyzing microscope images to identify immunofluorescence labeled tumor cells
  • Continuous improvement with as the machine learning-based component processes new input
Back to the list

Related Projects

The team’s technical excellence takes you halfway to success. At Oxagile, we understand that a solid grasp of your business domain is equally critical.

Video Analysis Platform Next-gen computer vision-based solution→
WebRTC Proctoring Platform ML-driven test monitoring solution→
Live Basketball Action Stats Potent combination of CV and analytics→
Dental Implant Identification Recognizing hundreds of implant models→

STAY WITH US

To get your project underway, simply contact us and an expert will get in touch with you as soon as possible.

This website uses cookies to help improve your user experience

I consent
Leave the page