TY - GEN
T1 - Image Alignment and Lineage Construction Tool to Study Segregation and Partitioning in Division of Unwanted Protein Aggregates in Escherichia Coli
AU - Fonseca, José Manuel Matos Ribeiro da
AU - DEE Group Author
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Escherichia coli is a model organism of several biological processes, including cellular aging. Regarding the agingrelated processes in E. coli, time-lapse images of cells are needed, so that the processes of segregation and partitioning in division of unwanted aggregates can be studied. Further, two different image acquisition techniques are needed, namely, phase-contrast and confocal, in order to obtain morphological and functional information. Since the two images are acquired with different resolution and non-coincident fields of view their alignment is mandatory. The large number of images hampers the use of manual analysis. To assist in studies of cellular aging, based on the software “CellAging”, we developed additional means for image alignment, automatic or computer-aided manual cell segmentation and tracking, division detection and lineage construction. Additionally to these functions, the tool can also perform the detection of intracellular fluorescent spots. As output, this tool provides, for each cell, information on the cell morphology (location, size and, orientation angle), on cell lineages (division time and parent-daughter relationships) and on intracellular fluorescent spots (location, size and, intensity). The tool should be of assistance to studies of the kinetics and spatial distribution of fluorescently tagged protein aggregates in bacteria. Also, it can aid in studying the growth kinetics of populations in various conditions.
AB - Escherichia coli is a model organism of several biological processes, including cellular aging. Regarding the agingrelated processes in E. coli, time-lapse images of cells are needed, so that the processes of segregation and partitioning in division of unwanted aggregates can be studied. Further, two different image acquisition techniques are needed, namely, phase-contrast and confocal, in order to obtain morphological and functional information. Since the two images are acquired with different resolution and non-coincident fields of view their alignment is mandatory. The large number of images hampers the use of manual analysis. To assist in studies of cellular aging, based on the software “CellAging”, we developed additional means for image alignment, automatic or computer-aided manual cell segmentation and tracking, division detection and lineage construction. Additionally to these functions, the tool can also perform the detection of intracellular fluorescent spots. As output, this tool provides, for each cell, information on the cell morphology (location, size and, orientation angle), on cell lineages (division time and parent-daughter relationships) and on intracellular fluorescent spots (location, size and, intensity). The tool should be of assistance to studies of the kinetics and spatial distribution of fluorescently tagged protein aggregates in bacteria. Also, it can aid in studying the growth kinetics of populations in various conditions.
M3 - Other contribution
VL - NA
ER -