Traceability
Designing traceable AI image workflows
How identifiers, metadata and timestamps turn a microscopic image workflow into something that can be reviewed later.
CellSight AI Platform
A clearer view of AI-powered blood-cell image analysis.
CellSight brings image workflows, batch analytics, evidence-linked knowledge and AI assistance into one connected platform for microscopic blood-cell research.
Connected Research Workflow
From microscopic images to clearer research workflows.
CellSight connects image intake, technical review, batch visibility, supporting evidence and AI-assisted knowledge access within one consistent research environment.
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Image Workspace
A focused starting point for every microscopic image, with metadata, technical review and trace information.
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Batch Analysis
Structured record import, distributions, failure patterns, filtering and export for further review.
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Evidence Hub
Approved product and technical knowledge organised by source, type, date and citation identifier.
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AI Assistant
Source-linked navigation of approved product knowledge, with citations back to Evidence Hub records.
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Microscopic Image Workflow
A structured starting point for every image.
Review image metadata, technical quality indicators and trace information through a focused workspace designed for microscopic image research.
Batch Analysis
See the records behind every batch.
Import structured records, explore distributions and failure patterns, filter individual entries and export reconciled results for further review.
Open Batch AnalysisEvidence-Linked Intelligence
Connect product knowledge with its supporting sources.
The Evidence Hub organizes approved product and technical knowledge, while the AI Assistant helps users navigate that information through source-linked answers.
CellSight Technology
A platform built around image workflows, traceability and responsible AI.
CellSight combines browser-based interactions, structured analytics, evidence retrieval and modular AI services within an architecture designed to support continued model development.
Insights
Selected Insights
Perspectives on traceable image workflows, evidence-linked AI and structured batch analysis.
Evidence
Why evidence-linked AI matters in research platforms
An assistant is only as useful as the sources behind it. Linking answers to records changes how they can be used.
Batch analysis
From individual images to structured batch analysis
What changes when a workflow moves from one image at a time to structured records, distributions and exports.
About CellSight
Building a clearer foundation for AI-assisted microscopic image analysis.
CellSight is developing an integrated platform for microscopic image workflows, batch analysis, evidence-linked knowledge and responsible AI experimentation.
- One environment for image, batch, evidence and AI workflows.
- Traceable interactions from intake through export.
- Product knowledge connected to the sources behind it.