AI-Powered Hematopathology,
From Cells to Diagnosis
CytoVista develops intelligent AI platforms for hematopathology, integrating morphology, flow cytometry, cytogenetics, molecular data, and clinical context to help laboratories deliver faster, more consistent, and more scalable diagnostic workflows.
Collaborating with leading institutions including MD Anderson Cancer Center, OHSU, and the University of Washington.
Building Clinical AI for the Future of Hematopathology
CytoVista is focused on developing advanced AI applications for hematopathology. Our mission is to empower pathologists and laboratories with intelligent digital workflows that improve efficiency, consistency, and diagnostic confidence. By combining computer vision, machine learning, cloud computing, and agentic AI, CytoVista helps bridge morphology, immunophenotyping, cytogenetics, molecular biology, and clinical interpretation.
Mission
Empower hematopathology with trustworthy clinical AI.
Vision
Create an integrated AI ecosystem that supports pathologists from cell-level analysis to final diagnostic insight.
An Integrated AI Platform for MICM Hematopathology
Connecting Morphology, Immunology, Cytogenetics, and Molecular Biology through intelligent AI workflows.
Morphology AI
AI-assisted analysis of peripheral blood and bone marrow smear images, including cell detection, classification, counting, review, and traceable cell-level records.
Flow Cytometry AI
Cloud-based AI analysis for high-dimensional flow cytometry data, including automated gating, immunophenotype analysis, report generation, and LIS/HIS workflow support.
Cytogenetics AI
AI-assisted chromosome segmentation, classification, abnormality detection, and karyotyping workflow support.
Agentic Diagnostic Workflow
An LLM-assisted workflow that helps integrate morphology, immunology, cytogenetics, molecular biology, and clinical context into a unified review process.
DeepFlow: Cloud AI for Flow Cytometry Analysis
DeepFlow is a cloud-based AI platform designed to support flow cytometry data analysis. It automates key steps including FCS data ingestion, quality checking, secure data management, automated gating, immunophenotype analysis, report generation, and LIS/HIS integration.
Automated Gating
High-Dimensional Analysis
AI-Assisted Diagnosis
Custom Panel Support
Cloud Workflow
Report Generation
DeepCell: AI-Assisted Morphology for Blood and Bone Marrow
Automating cell detection, classification, counting, and review for peripheral blood and bone marrow morphology.
- Automated Cell Counting
- High-Resolution Morphology Review
- Workflow Efficiency
- Quality and Traceability
- Remote Review
Designed for Real Laboratory Workflows
Data Acquisition
Import FCS files, slide images, case information, and laboratory records.
Data Management
Secure storage, quality check, case organization, and workflow tracking.
AI Analysis
Automated gating, cell classification, morphology review, and immunophenotype analysis.
Expert Review
Interactive editing, pathologist review, quality control, and second opinion.
Report Generation
Structured report generation and export to LIS/HIS.
Bring Intelligent Hematopathology AI to Your Laboratory
CytoVista partners with hospitals, pathology groups, academic medical centers, and research laboratories to develop and deploy AI-powered hematopathology workflows.