About the project
Selux Diagnostics is a US-based biotech company transforming precision diagnostics for infectious diseases. Their mission is to curb antimicrobial resistance with rapid antibiotic susceptibility testing (AST) that enables fast, personalized therapies when every hour counts.
Challenge
Antibiotic resistance is a global health crisis projected to surpass cancer deaths by 2050. Selux is fighting superbugs with its Next Generation Phenotyping (NGP) System, a rapid AST platform that modernizes patient care and targeted treatments.
Delivering this system required heavy engineering across custom lab robotics and a Site Software platform that connects instruments, users, and existing laboratory databases. With instrument work already underway, Selux needed a software partner to accelerate Site Software capabilities on tight timelines.
The platform had to deliver:
- Reliable LIS connectivity for orders and results
- Guided workflows for sample preparation and instrument handoffs
- ML algorithms to convert raw measurements into clinically relevant results
- Clear, reviewable result reports for complex bacterial responses
- Admin tools for users and IT to manage workflows, access, and configurations
Solution
We helped Selux extend the Site Software platform with new capabilities across a wide technology stack. Working under the direction of Selux — s software leadership and data science team, our dedicated developers delivered major functional areas — from ML pipelines to database interfaces and UI implementation.
We supported algorithm development and testing with Python (NumPy, SciPy, Pandas, Scikit-learn), UI design and implementation with Figma, XAML, WPF and C# .NET, and LIS integration using C# .NET, SQL, and HL7. We also augmented the SQA team to strengthen verification, reduce defects early, and ensure consistent quality.
How it works
- The LIS sends an order request to Site Service, which stores access identifiers and specimen metadata.
- When a carrier is loaded into the Separator or Inoculator, Site Service receives the carrier barcode and returns sample details. Panel barcodes are recorded during inoculation.
- The Sample Preparation web interface guides technicians through each step with data entry, visuals, and critical alerts.
- The Analyzer pulls panel data from Site Service and submits raw assay measurements after processing.
- Site Service triggers the ML algorithm to compute MIC values for each antibiotic on the panel.
- Using FDA-aligned guidelines, Site Service determines clinical effectiveness (susceptible or resistant).
- Authorized users review results via the web interface, export PDFs, and synchronize reports back to LIS.
Features
- User-friendly interface for clinical sample and quality control tests
- Step-by-step sample preparation guidance with visual aids
- Customizable LIS integration for orders and results
- Seamless interaction between hardware, software, and laboratory databases
- ML-powered sample analysis and interpretation
- Quality Control module for review and troubleshooting
- Manual organism identification and mismatch resolution
- PDF export of test results
- Compliance with FDA and healthcare regulations
- Data backup, restore, and audit trails
- Carrier configuration, settings, and status monitoring
Technologies
.NET
React
React Query
Axios
Styled Components
Python
Pytest
NumPy
Pandas
Scikit-learn
Miniconda
MS SQL
Google Cloud SDK
GitHub
Identity Server 4
TeamCity
Jupyter
Docker
Apache Airflow
Business value
This partnership streamlines laboratory workflows and delivers fast, data-driven results for critical medical decisions:
- Faster AST outcomes — Clinicians receive accurate results in about 5.5 hours
- Earlier targeted therapy — Treatment starts 1 — 3 days sooner
- Fewer errors — Automated workflows reduce manual mistakes
- Regulatory readiness — Built for FDA-aligned compliance requirements
- Operational efficiency — Streamlined lab processes and reporting
- Patient impact — Improved care, reduced hospital stays, and lower costs
Impact: The platform helps hospitals improve outcomes while preserving the effectiveness of life-saving antibiotics for future generations.