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Custom Software • AI • Data Engineering • Bioinformatics

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Custom Software • AI • Data Engineering • Bioinformatics

Custom Software • AI • Data Engineering • BioinformaticsCustom Software • AI • Data Engineering • BioinformaticsCustom Software • AI • Data Engineering • Bioinformatics
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Ad-hoc Imaging Analysis Tool

 

Overview

Developed a GAMP-compliant API to monitor and control cell health in real time by extracting detailed insights and unequivocally defining cell states for specific cell types such as CAR-T, iPSCs, and MSCs. The tool is adaptable to other cell types and experimental contexts, enabling faster and more reliable image-based cell analysis. 


Key Features

  • Retrieve cell/colony features from images up to 50x faster than ImageJ, enabling high-throughput analysis
  • Early detection of undesired outcomes (e.g., spontaneous differentiation) with sensitivity and consistency beyond expert visual assessment
  • Optimize protocol timelines and workflows
  • Deliver cell/colony data in ready-to-use formats for advanced analysis and integration
  • Seamless API integration into existing pipelines
     

Add-ons

  • Storage and systematic analysis of large image datasets
  • QA/QC monitoring support
     

Results

  • Model accuracy of 0.88, a recall of 0.95 and a precision of 0.95
  • Significantly increased throughput and data processing speed
  • Improved early detection of critical cell state changes
  • Streamlined workflows reducing manual intervention
  • Reliable and integratable data output formats
     

Deployment
Deployed on client’s secure internal servers to ensure data privacy and compliance with biotech IT standards.

Client: VC-backed biotech startup

Timeline: 10 months (development, benchmarking, deployment), with ongoing support as needed 

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