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LFCT: A Benchmark Dataset for Low-Frame-Rate Cell Tracking in Long-Term Live-Cell Microscopy.

Mina Gachloo¹, Tirthankar Biswas², Xiaoming Lu³

¹School of Computing, Clemson University, USA.

Biorxiv : the Preprint Server for Biology

|June 12, 2026

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This summary is machine-generated.

This study introduces the Low Frame-rate Cell Tracking dataset (LCFT) for evaluating cell tracking algorithms in microscopy. LCFT addresses challenges in low-frame-rate imaging, crucial for long-term biological process studies.

Area of Science:

Cell biology
Microscopy
Bioimage analysis

Background:

Cell tracking in time-lapse microscopy is vital for understanding cellular dynamics.
Current benchmarks often overlook low-frame-rate imaging, limiting algorithm evaluation for long-term studies.
Sparse temporal sampling and large inter-frame motion pose significant challenges in live-cell imaging.

Purpose of the Study:

To introduce the Low Frame-rate Cell Tracking dataset (LCFT) as a novel benchmark.
To facilitate the development and evaluation of cell tracking algorithms under low-frame-rate conditions.
To provide a comprehensive resource for robust cell tracking in long-term live-cell imaging.

Main Methods:

Collected multi-day live-cell microscopy sequences from four human cell lines.

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Utilized phase-contrast and fluorescence imaging at 10× and 20× magnifications.

Combined automated segmentation and tracking with extensive manual curation for ground-truth annotation.

Main Results:

Developed the LCFT dataset featuring diverse cell lines and imaging conditions.
Provided detailed ground-truth annotations including cell IDs, temporal links, lineage, and mitosis events.
LCFT enables rigorous benchmarking of cell tracking algorithms for sparse temporal sampling.

Conclusions:

The LCFT dataset is a valuable resource for advancing cell tracking methodologies.
It specifically addresses the unmet need for evaluating algorithms in low-frame-rate, long-term imaging scenarios.
LCFT will drive the development of more robust and accurate cell tracking solutions for biological research.