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AI-Assisted Embryology

Spindle Morphology Scoring

Objective AI-assisted assessment of oocyte spindle structure at the moment of ICSI, supporting embryologist decision-making within one minute.

Analysis flow

A minimal, focused interface designed for the pace of an IVF lab. Record 10-15 seconds of the oocyte under polarized light immediately before ICSI.

Input
Primary

Live screen capture

Capture directly from your lab computer display in real time. No separate recording device required.

Secondary

Upload video file

Useful for labs without direct internet on the microscope workstation. Upload a pre-recorded file.

Server-side processing

Quality verification, oocyte detection, spindle localization, and morphological scoring via ensemble model

A
Favorable

Correlated with euploidy

B
Indeterminate

Grey zone for inconclusive spindle morphology

C
Unfavorable

Correlated with aneuploidy

The A / B / C scale

Three-class scoring based on ensemble consensus, validated against PGT-A reference data in independent blinded studies.

Classification system
A

Score A — Favorable morphology

High correlation with euploidy. Assigned when ensemble consensus indicates favorable spindle morphology.

B

Score B — Indeterminate

Model confidence falls below the classification threshold. Accounts for 25-30% of all cases.

C

Score C — Unfavorable morphology

High correlation with aneuploidy.

Correlation accuracy for Scores A and C exceeds 70%, confirmed through independent blinded validation against PGT-A results.

Decision support only. Morphological scoring does not constitute a clinical diagnosis. All results should be evaluated by qualified reproductive medicine specialists in conjunction with standard clinical protocols.

Capabilities

Built for clinical workflows

Designed to integrate seamlessly into IVF laboratory routines with minimal disruption to existing protocols.

Analysis history and records

Every scored oocyte is logged with timestamp and optional ID. Records are searchable and exportable for clinical documentation.

Transparent uncertainty

When the model is uncertain, it reports Score B rather than making a forced prediction. The embryologist's own assessment always takes priority.

Laboratory training

We provide hands-on training for embryologists on oocyte manipulation techniques that optimize spindle visualization under polarized light.

Requirements

What your clinic needs

ReSpindle AI integrates with existing ICSI workstations — no hardware replacement required.

Polarizer on ICSI workstation

A polarization module on the ICSI microscope is the core hardware prerequisite. We do not manufacture or sell this equipment, but we can help connect you with authorized dealers in your region.

Glass-bottomed dishes

Plastic dishes introduce optical artifacts that degrade spindle visualization. Glass-bottomed culture dishes are required for reliable morphology assessment.

Trained embryologist operator

Correct oocyte orientation during video capture is essential. We provide protocol training as part of the onboarding process.

CE

CE Mark Certified

ReSpindle is certified as a Class I medical device under the European Medical Device Regulation (MDR). It is a decision support tool intended to assist embryologists with morphological pattern scoring, not for autonomous clinical decision-making.

Privacy by design

No patient health information is collected or stored. Only the oocyte video is processed. An optional oocyte ID and free-text comment are available for lab reference. No third-party data sharing.

Ready to integrate?

Contact us to discuss clinic access, onboarding, or validation partnerships.

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