eDetect:

A Fast Error Detection and Correction Tool

for Live Cell Imaging Data Analysis

Features

Main Interface

Integrated display of raw images and segmented objects.

Easy-to-use toolbox for manual correction of segmentation and tracking results.

Segmentation Gating

2D visualization of single-cell features.

Each point represents an object (nucleus).

Similar objects are located close to each other.

Segmentation errors "regions" can be easily identified by clicking.

Batch error correction

Removing multiple objects in a batch manner in Segmentation Gating.

The red points selected in the polygons represent background regions or debris.

Example object in the polygon

This object is represented by one of the points in the polygon in the left.

Cell Pair Gating

2D visualization of cell pairs' features.

Each point represents a pair of objects (nuclei).

Similar cell pairs are located close to each other.

Tracking errors "regions" could be identified by clicking.

Example cell pair

The point clicked on Cell Pair Gating window represents a pair of newly divided sister cells.

Cell Lineages Display

Both cell lineage structures and single-cell features are presented by a heatmap.

Segmentation and tracking errors are often indicated by topological (e.g. frequent divisions) or grey-level (e.g. abrupt changes) anomalies , which can easily be identified from the heatmap.

Example of outlier

The 2nd outlier (the one on the right) represents an abrupt change in object areas caused by nuclei overlapping and inaccurate segmentation.

Synchrogram

Convenient view of the cropped video of a selected single-cell trace.

Result visualization

Both cell lineage structures and molecular intensities are presented by a heatmap.

The heatmap shows that FUCCI signals are low after cell divisions, and increase during the courses of cell cycles.

Data exportation

Exported data table is visualized in MATLAB.

Data exportation

Exported data table is visualized in MATLAB.

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