TY - JOUR
T1 - TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy
AU - Huth, Johannes
AU - Buchholz, Malte
AU - Kraus, Johann M.
AU - Mølhave, Kristian
AU - Gradinaru, Cristian
AU - v. Wichert, Götz
AU - Gress, Thomas M.
AU - Neumann, Heiko
AU - Kestler, Hans A.
PY - 2011
Y1 - 2011
N2 - The direct observation of cells over time using time-lapse microscopy can provide deep
insights into many important biological processes. Reliable analyses of motility, proliferation,
invasive potential or mortality of cells are essential to many studies involving live cell
imaging and can aid in biomarker discovery and diagnostic decisions. Given the vast amount
of image- and time-series data produced by modern microscopes, automated analysis is a
key feature to capitalize the potential of time-lapse imaging devices. To provide fast and
reproducible analyses of multiple aspects of cell behaviour, we developed TimeLapseAnalyzer.
Apart from general purpose image enhancements and segmentation procedures, this
extensible, self-contained, modular cross-platform package provides dedicated modalities
for fast and reliable analysis of multi-target cell tracking, scratch wound healing analysis, cell
counting and tube formation analysis in high throughput screening of live-cell experiments.
TimeLapseAnalyzer is freely available (MATLAB, Open Source) at http://www.informatik.uniulm.
de/ni/mitarbeiter/HKestler/tla.
AB - The direct observation of cells over time using time-lapse microscopy can provide deep
insights into many important biological processes. Reliable analyses of motility, proliferation,
invasive potential or mortality of cells are essential to many studies involving live cell
imaging and can aid in biomarker discovery and diagnostic decisions. Given the vast amount
of image- and time-series data produced by modern microscopes, automated analysis is a
key feature to capitalize the potential of time-lapse imaging devices. To provide fast and
reproducible analyses of multiple aspects of cell behaviour, we developed TimeLapseAnalyzer.
Apart from general purpose image enhancements and segmentation procedures, this
extensible, self-contained, modular cross-platform package provides dedicated modalities
for fast and reliable analysis of multi-target cell tracking, scratch wound healing analysis, cell
counting and tube formation analysis in high throughput screening of live-cell experiments.
TimeLapseAnalyzer is freely available (MATLAB, Open Source) at http://www.informatik.uniulm.
de/ni/mitarbeiter/HKestler/tla.
KW - Microscopy image processing
KW - Cell counting software
KW - Scratch wound healing assay
KW - Multiple cell tracking
KW - High throughput screening
U2 - 10.1016/j.cmpb.2011.06.002
DO - 10.1016/j.cmpb.2011.06.002
M3 - Journal article
C2 - 21705106
SN - 0169-2607
VL - 104
SP - 227
EP - 234
JO - Computer Methods and Programs in Biomedicine
JF - Computer Methods and Programs in Biomedicine
ER -