How GT Genx and NeuraMonks Built ScopeGenx to Simplify Microscopy Data Management
GT Genx collaborated with NeuraMonks to develop ScopeGenx — a specialized platform designed to simplify the management, annotation, and analysis of microscopy data. Built for researchers and lab technicians, ScopeGenx integrates advanced AI/ML capabilities with an intuitive interface to streamline workflows around microscope-generated images and complex data structures.
Infrastructure
AWS
Technology
Core Features
Microscope Image Classification & Identification
Each data item is assigned a unique code and classification for precise retrieval. Users can upload images across magnification levels (10x, 40x) — both clear and blurred — with contextual documentation.
Annotation System
Users can draw boxes and lines over images to mark important areas, enabling detailed analysis and facilitating communication between collaborators.
3D Visualization & Multimedia Integration
ScopeGenx supports advanced data visualization through embedded 3D video references and contextual URLs, enhancing the depth of insight into each dataset.
Parent–Child Data Hierarchy
The platform supports a tree structure where each record may have multiple subparts. Users can navigate this hierarchy visually, with status indicators highlighting pending or unresolved tasks.
Interactive Review & Collaboration Interface
A dynamic side panel on the list page allows users to review item details, add comments, and view associated images — all within a streamlined layout that enhances productivity.
Activity Logging & Versioning
Every change made to a dataset or image is logged. This ensures transparency, auditability, and a clear historical record of data evolution.
Administrative Controls
Admins can approve or reject submitted items, comment directly on submissions, and oversee the overall data lifecycle to maintain consistency and quality.
Collaboration Tools
Team members can comment on specific images or dataset sections, promoting collaborative analysis and decision-making.
Problem Statement
Scientific and industrial research teams increasingly rely on microscopy, yet managing the resulting volume and complexity of data is cumbersome. The key challenges include:
Inefficient Image Management
Inefficient image organization and retrieval
Weak Annotation Tools
Lack of robust annotation and observation tools
Poor Data Visualization
Inability to visualize complex or hierarchical data effectively
Fragmented Collaboration
Fragmented collaboration and approval processes
Weak Activity Tracking
Weak audit trails for activity tracking
Our Solutions
ScopeGenx resolves these issues by combining powerful image processing and AI-enhanced organization with practical tools for annotation, review, and collaboration — all within a unified platform.
Implementation Challenges
Flexible Classification Models
Building flexible classification models to handle diverse microscopy inputs
Precise Annotation Tools
Designing precise, easy-to-use annotation tools
Seamless 3D Integration
Integrating 3D content and external references into a seamless UI
Real-Time Collaboration
Enabling real-time collaborative workflows with granular access control
Tamper-Proof Audit Logs
Maintaining an audit-ready, tamper-proof log of all user actions and changes
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