Neutrophil Cell Tracking Data from Confocal Microscopy Time-Lapse Sequences

A 1.2 MB PDF data sheet describes a pipeline for analyzing neutrophil dynamics. The pipeline uses time-lapse sequences from a confocal microscope, processed with U-Net for segmentation and tracking, and an extended Viterbi algorithm for trajectory linkage. The data sheet was authored by Chen Li and last updated on 2026-04-21.

Use Cases

• Benchmarking cell tracking algorithms based on the described U-Net and Viterbi pipeline.
• Studying neutrophil migration behavior (velocity, direction, displacement) based on the described motion measurements.
• Training or validating deep learning models for bioimage segmentation based on the use of U-Net mentioned in the description.

Strengths

• The described pipeline is validated against other representative linkage methods, suggesting a tested methodology.
• The data sheet is licensed under CC-BY-4.0, allowing for open sharing and adaptation.

Limitations

• The dataset is a 1.2 MB PDF data sheet, not the raw image or tracking data itself.
• Row count and column-level documentation for any underlying data are unknown.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Chen Li

Collection Method

Time-lapse sequences collected using a confocal microscope, processed with a custom pipeline involving image pre-processing, U-Net segmentation, and trajectory linkage.

Freshness

Last updated 2026-04-21 05:20:08; freshness should be verified.