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Automated Cell Line Management System for Enhanced Data Analysis and Workflow Efficiency

blackthorn-vision

Medical

Information technology

Challenges in Optofluidic Data Analysis

Biologists faced significant bottlenecks processing gigabytes of optofluidic platform data (CSV/XML formats) requiring manual file processing or custom Python scripts. This time-consuming workflow hindered efficient identification of relevant files, filter creation, multi-experiment analysis, and report generation.

About the Client

A biotech research institution focused on advancing cellular analysis and assay technologies

Key Project Goals

Develop an automated system for optofluidic data analysis
Implement reusable filter creation and sharing capabilities
Enable simultaneous multi-experiment analysis with drilldown visualization
Create automated PDF reporting functionality
Ensure memory-efficient processing of large datasets

Core System Functionalities

Custom filter and graph builder for workflow automation
Computer vision-enhanced image analysis with brightness/contrast optimization
Multi-experiment visualization dashboard
PDF report generation with customizable templates
Plugin architecture for laboratory-specific extensions
Configurable UI for lab workflow personalization
Automated data import templates for CSV/XML formats

Technology Stack

WPF

Prism

Telerik

OpenCV

System Integrations

Optofluidic platforms (BEACON, THE LIGHTNING™)
Laboratory information management systems (LIMS)

Performance Requirements

Memory-efficient processing of large image datasets
Scalable architecture for plugin integration
High-performance data filtering and visualization
Cross-platform compatibility (desktop/web)

Business Impact

Enables biologists to reduce data analysis time from hours to minutes through automated workflows and intelligent data visualization, improving research productivity by 70% while enhancing collaboration through standardized reporting and shared filter libraries.