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Development of Integrated Laboratory Automation Ecosystem with Centralized Management
  1. case
  2. Development of Integrated Laboratory Automation Ecosystem with Centralized Management

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Development of Integrated Laboratory Automation Ecosystem with Centralized Management

neurosys.com
Medical
Information technology
Business services

Problem Statement

Laboratory equipment requires enhanced software capacity to manage multiple machines within complex large-scale processes. Existing systems lack flexibility for changing requirements and cross-platform compatibility, while fragmented machine-specific applications hinder efficient resource management and permissions control.

About the Client

Provider of automated imaging and analysis solutions for microbiological laboratories

Project Objectives

  • Develop scalable ecosystem for managing multiple laboratory machines
  • Create centralized management system (Icarus) for permissions and resource allocation
  • Implement rights control and licensing mechanisms across all ecosystem components
  • Enable cross-platform compatibility for diverse user environments
  • Integrate AI/ML-based image analysis for microbiological detection

Functional Requirements

  • Centralized machine management through Icarus system
  • Role-based access control and licensing framework
  • AI-powered microbiological image analysis (ScanLabIIBP)
  • Automated test tube labeling system (TubeLabeller)
  • Dynamic worklist generation for pipetting systems
  • Cross-platform compatibility across operating systems

Preferred Technologies

Redux
Webpack
Yarn
MaterialUI

Required Integrations

  • Legacy laboratory equipment interfaces
  • Existing pharma company workflow systems
  • Cloud-based data storage solutions

Non-Functional Requirements

  • Scalable architecture for large-scale laboratory environments
  • High system availability (99.9% uptime)
  • Cross-platform performance optimization
  • Data security compliance with medical regulations
  • Modular design for future requirement changes

Expected Business Impact

Enables management of complex laboratory workflows through integrated ecosystem, reduces operational costs through automation, accelerates time-to-market for pharmaceutical clients, and establishes scalable foundation for future expansion across top-tier medical institutions.

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