Fig 1.
Core elements of the DeLTA pipeline and segmentation and tracking results.
(A) Schematic representation of mother machine device. Mother cells are trapped at one end of the chamber and their progeny are progressively flushed out of the chamber, into the main nutrient flow channel. Fluorescent reporters can be used to monitor single-cell gene expression. Scale bar is 5μm in length. (B) Inputs and outputs of the segmentation U-Net. Note that the weight maps are only used for training and are not produced at the prediction step. (C) Inputs and outputs for the tracking U-Net. (D) Representative kymograph of segmentation and tracking for a single chamber. Black lines highlight detected divisions and mother-daughter relationships.
Table 1.
Key performance numbers for training and evaluation of the DeLTA algorithm.
Fig 2.
Representative single-cell time-lapse image data demonstrating wealth of information extracted from movies.
(A) Mean GFP fluorescence over time for mother cell and its progeny. (B) Cell length, (C) growth, and (D) timing of cell division events over time for the mother cell. Note that these morphological properties are also recorded for all progeny, but are not displayed here for visual clarity. (E) Kymograph of chamber containing mother cell and progeny presented in (A – D).
Fig 3.
Analysis of fluorescence correlations in the lineage tree.
(A) Mean GFP fluorescence for the mother cell compared to daughter, granddaughter, or great granddaughter cells. Fluorescence values for the mother are derived from the cell cycle immediately prior to division, while fluorescence for the daughter, granddaughter, or great granddaughter come from the cell cycle immediately following division from the cell in the previous generation (e.g. from the mother when considering the daughter). (B) Correlation coefficient between mother cell mean GFP values and its progeny. (C) Autocorrelation of the GFP signal for the mother cell. Error bars show standard deviation around the mean.