Case Study Cell Counting

Cell Counting and Classification With Computer Vision Technology

Summary

Folio3 AI, a technology partner for a US-based biotechnology company, successfully developed a customized AI-generated tool for cell counting and classification. The tool utilizes advanced algorithms to accurately classify various types of cells and provide precise cell counting. With this innovative solution, the healthcare provider can enhance their diagnostic capabilities and streamline their processes, improving patient care and treatment outcomes.


About the Customer

Our client is a global leader in biotech and healthcare. Dedicated to revolutionizing cell research, identification, and disease prevention and cure. With a relentless commitment to scientific excellence.


cell counting-1st section
  • Team composition

    2 members

  • Expertise used

    Deep Learning, Transfer Learning, Image Processing, Computer Vision

  • Duration

    5 Weeks

  • Services provided

    Cell Classification and Counting Tool

  • Country

    US

  • Industry

    Healthcare

Understanding the Challenge

This biotech company needed an application that counts and classifies cells based on different characteristics. In addition, the cell images are so small and often unreadable to the naked eye they wanted an automated process and improved efficiency by incorporating a solid machine learning pipeline tailored for this problem.

Solution

Folio3 AI developed a cutting-edge AI-powered tool for cell counting and classification, leveraging advanced image analysis techniques. The tool identifies and classifies different types of cells based on different characteristics, enabling faster diagnoses and more accurate analysis.

Accurate Cell Identification

The tool utilizes advanced algorithms to accurately identify and classify different types of cells based on their unique characteristics, such as morphology and staining patterns.

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Seamless Integration

The tool integrates with existing healthcare systems and laboratory equipment, facilitating smooth data flow and enhancing workflow efficiency.

seamless integration
solution- cell counting
high precision and consistency

High Precision and Consistency
 The AI algorithms employed by the tool ensure high precision and consistency in cell counting and classification, minimizing variations and improving the reliability of results.

automation

Automation and Efficiency
The tool increases efficiency by automating cell counting and classification, allowing healthcare professionals to focus on other critical tasks while obtaining accurate cell analysis results.

Scalability

The tool is designed to handle large volumes of cell images, making it suitable for diverse laboratory settings and accommodating future growth.

 

scalability

Enhanced Diagnostic Capabilities
With its advanced cell counting and classification capabilities, the tool improves diagnostic capabilities, enabling more informed and precise clinical decision-making.

User-friendly Interface
The tool features a user-friendly interface, making it accessible and easy for healthcare professionals with varying technical expertise.

 

Result

Up to 40% fewer counting errors were observed after the tool was implemented, and more reproducible results were observed. Automating and accelerating cell classification saved the company a lot of time and resources.