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.
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Team composition
2 members
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Expertise used
Deep Learning, Transfer Learning, Image Processing, Computer Vision
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Duration
5 Weeks
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Services provided
Cell Classification and Counting Tool
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Country
US
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Industry
Healthcare
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.
Seamless Integration
The tool integrates with existing healthcare systems and laboratory equipment, facilitating smooth data flow and enhancing workflow efficiency.
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 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.
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.