HCN4-Integrated Cardiac Tissue Optical Flow Data in MAT Files

Optical mapping data of HCN4-integrated 2D tissue, processed into MAT files with 200 frames per file. The data was acquired by a high-speed camera optical mapping system and processed with Matlab. It was contributed by Park, Sung Jin to Harvard Dataverse and last updated on April 13, 2026.

Use Cases

• Analyze cardiac tissue contraction patterns based on 2D optical flow vector magnitude and orientation.
• Model electrical-mechanical coupling in engineered heart tissue based on x and y directional flow vectors.
• Train machine learning models for anomaly detection in tissue dynamics using the processed optical flow frames.

Strengths

• Data is processed into a structured MAT file format with defined key variables for optical flow.
• Each file contains 200 frames of temporal data, providing a sequence for dynamic analysis.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation beyond the listed key variables is absent; field semantics must be fully inferred after download.

Provenance

Source

Harvard Dataverse

Collection Method

Acquired by an optical mapping system with a high-speed camera and processed with Matlab.

Time Range

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Freshness

Last updated 2026-04-13 18:53:28; freshness should be verified.

Geography

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