Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Enhanced High-Resolution Tissue Imaging Software Development for Pathology Diagnostics
  1. case
  2. Enhanced High-Resolution Tissue Imaging Software Development for Pathology Diagnostics

Enhanced High-Resolution Tissue Imaging Software Development for Pathology Diagnostics

gloriumtech.com
Medical

Identifying Limitations in Existing Tissue Imaging Software and the Need for Advanced Diagnostic Tools

The client has developed a specialized tissue scanner capable of high-resolution scans but faces challenges in integrating modern software features, resulting in limited image quality, slow processing speeds, and insufficient automation for analysis, thereby restricting the scanner’s effectiveness in clinical diagnostics.

About the Client

A mid-sized medical device company specializing in diagnostic imaging solutions, aiming to improve tissue scan quality and analysis workflows.

Goals for Developing an Advanced, Automated Tissue Image Analysis Platform

  • Enhance the software capabilities to support high-resolution tissue scan processing, segmentation, and analysis.
  • Implement automated testing frameworks to improve system stability and quality assurance.
  • Accelerate deployment and feature integration to maintain a competitive edge in the diagnostic imaging market.
  • Improve user interface functionality for seamless navigation, image manipulation, and multi-layer viewing.
  • Ensure system scalability, performance, and security to support clinical workflows and large data volumes.

Core Functional System Requirements for High-Resolution Tissue Imaging Solution

  • Support for high-resolution image segmentation and analysis
  • Advanced image processing algorithms for enhanced image quality
  • Faster scanning speeds and optimized image rendering
  • Web-based viewer with intuitive zoom, scroll, and multi-layer switching capabilities
  • In-built automated test coverage to monitor system stability and performance
  • Scalable architecture to handle large image datasets and concurrent users

Recommended Technologies and Architectural Frameworks for Implementation

VueJS for frontend user interface
Python for image processing and analysis algorithms
.NET (WPF and Web API) for backend services
ASP.NET Core for web services
JavaScript for automated quality assurance (AQA)
Azure Pipelines and Spirateam for CI/CD and deployment

Necessary External System and Data Integrations

  • External image storage or database systems for high-volume data management
  • Automation testing tools integration for continuous quality assurance
  • Existing scanner hardware interfaces for seamless data exchange

Critical Non-Functional System Attributes

  • System must support scalable performance for large datasets and multiple concurrent users
  • High system availability with minimal downtime
  • Data security and compliance with healthcare data standards
  • Fast processing speeds ensuring real-time or near-real-time analysis
  • Robust automated testing coverage to ensure system stability

Projected Business Benefits and Performance Improvements

The developed software is expected to significantly improve tissue scan processing and analysis efficiency, raising image quality and speed, reducing manual effort, and enhancing diagnostic accuracy. Aiming to achieve a 30% increase in processing speed, improved system stability through comprehensive auto testing, and quicker feature deployment cycles, thereby strengthening the client’s market position in medical diagnostics.

More from this Company

Advanced Inventory Optimization and Delivery Management System for Healthcare Equipment Providers
Development of a High-Performance Trade Processing and Management Platform for Financial Institutions
Unified Software Development Outsourcing for Accelerated Product Launch
Development of a Data-Driven Infant Nutrition Forecasting and Monitoring Platform
Development of an AI-Driven Patient Scheduling System to Enhance Appointment Adherence and Operational Efficiency