SigTuple has launched AS76, an AI-enabled digital morphology analyser designed to automate peripheral blood smear (PBS) microscopic review. The system integrates automated digital microscopy with on-device edge AI computing to deliver faster, standardized results while maintaining strict data privacy.

Powered by NVIDIA RTX technology from NVIDIA Corporation, AS76 performs high-throughput image analysis using advanced AI models that operate entirely on the device. This enables near-instant processing of large sample volumes without requiring internet connectivity.

The AI-driven digital microscope features built-in computing capabilities and can load up to six PBS slides simultaneously. It scans slides in full diagnostic detail and generates AI-assisted reports for expert validation. All analysis and inference are performed locally, ensuring patient data remains within the laboratory environment.

AS76 automates critical components of manual PBS review, including the generation of a 200-cell leukocyte differential, identification of red blood cell morphology abnormalities, and platelet morphology assessment, including detection of platelet aggregates.

The system is equipped with 20×, 40× and 100× objectives mounted on an automated turret. While launching with peripheral blood smear functionality, AS76 has been designed for future software upgrades to support tissue samples, bodily fluids, bone marrow and microbiology slides. This modular capability positions the platform as a potential digital successor to conventional analog microscopes in laboratory settings.

By leveraging AI-driven cell pre-classification, AS76 standardizes smear review workflows at scale and flags atypical findings for expert confirmation. The approach reduces manual workload and turnaround time while maintaining diagnostic consistency. As all AI inference is conducted locally, the system eliminates latency, functions offline and safeguards patient confidentiality.

AS76 is CE-marked under the In Vitro Diagnostic Regulation (IVDR), confirming compliance with European safety and performance standards.

SigTuple’s AI-based microscopy platforms have previously demonstrated impact in remote and underserved regions, enabling centralized specialist review, faster diagnosis and earlier detection of serious conditions. The AS76 builds on this foundation by combining advanced imaging with edge AI to broaden access to high-quality diagnostic services.

According to the company’s leadership, edge AI represents the next phase of diagnostic microscopy, keeping computational intelligence at the point of data generation to enhance speed, consistency and data security. NVIDIA highlighted that India’s AI startup ecosystem is gaining momentum, supported by access to accelerated computing, scalable AI infrastructure and startup-focused initiatives such as NVIDIA Inception and the NVIDIA VC Alliance.