scholarly journals CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging

2010 ◽  
Vol 7 (9) ◽  
pp. 747-754 ◽  
Author(s):  
Michael Held ◽  
Michael H A Schmitz ◽  
Bernd Fischer ◽  
Thomas Walter ◽  
Beate Neumann ◽  
...  
Keyword(s):  
High Throughput ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Live Cell ◽  
Time Resolved ◽  
Phenotype Annotation

scholarly journals A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sadaf Kalsum ◽  
Blanka Andersson ◽  
Jyotirmoy Das ◽  
Thomas Schön ◽  
Maria Lerm
Keyword(s):  
Mycobacterium Tuberculosis ◽  
High Throughput ◽  
High Throughput Screening ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Imaging System ◽  
Aggregate Size ◽  
Live Cell ◽  
Screening Assay ◽  
High Throughput Screening Assay

Abstract Background Efficient high-throughput drug screening assays are necessary to enable the discovery of new anti-mycobacterial drugs. The purpose of our work was to develop and validate an assay based on live-cell imaging which can monitor the growth of two distinct phenotypes of Mycobacterium tuberculosis and to test their susceptibility to commonly used TB drugs. Results Both planktonic and cording phenotypes were successfully monitored as fluorescent objects using the live-cell imaging system IncuCyte S3, allowing collection of data describing distinct characteristics of aggregate size and growth. The quantification of changes in total area of aggregates was used to define IC50 and MIC values of selected TB drugs which revealed that the cording phenotype grew more rapidly and displayed a higher susceptibility to rifampicin. In checkerboard approach, testing pair-wise combinations of sub-inhibitory concentrations of drugs, rifampicin, linezolid and pretomanid demonstrated superior growth inhibition of cording phenotype. Conclusions Our results emphasize the efficiency of using automated live-cell imaging and its potential in high-throughput whole-cell screening to evaluate existing and search for novel antimycobacterial drugs.

Ratiometric Iridium(III) Complex-Based Phosphorescent Chemodosimeter for Hg2+ Applicable in Time-Resolved Luminescence Assay and Live Cell Imaging

2015 ◽  
Vol 87 (6) ◽  
pp. 3255-3262 ◽  
Author(s):  
Jiaxi Ru ◽  
Xu Chen ◽  
Liping Guan ◽  
Xiaoliang Tang ◽  
Chunming Wang ◽  
...  
Keyword(s):  
Live Cell Imaging ◽  
Cell Imaging ◽  
Live Cell ◽  
Time Resolved ◽  
Luminescence Assay

scholarly journals mycelyso – high-throughput analysis of Streptomyces mycelium live cell imaging data

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Christian Carsten Sachs ◽  
Joachim Koepff ◽  
Wolfgang Wiechert ◽  
Alexander Grünberger ◽  
Katharina Nöh
Keyword(s):  
High Throughput ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Live Cell ◽  
Imaging Data ◽  
High Throughput Analysis ◽  
Throughput Analysis

scholarly journals Erratum: Robust high-throughput kinetic analysis of apoptosis with real-time high-content live-cell imaging

2017 ◽  
Vol 8 (5) ◽  
pp. e2758-e2758 ◽  
Author(s):  
Jesse D Gelles ◽  
Jerry Edward Chipuk
Keyword(s):  
Kinetic Analysis ◽  
Real Time ◽  
High Throughput ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Live Cell

High-throughput live-cell imaging reveals differential inhibition of tumor cell proliferation by human fibroblasts

2010 ◽  
Vol 128 (12) ◽  
pp. 2793-2802 ◽  
Author(s):  
Emilie Flaberg ◽  
Laszlo Markasz ◽  
Gabor Petranyi ◽  
Gyorgy Stuber ◽  
Ferenc Dicső ◽  
...  
Keyword(s):  
Cell Proliferation ◽  
Tumor Cell ◽  
High Throughput ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Human Fibroblasts ◽  
Live Cell ◽  
Tumor Cell Proliferation ◽  
Differential Inhibition

scholarly journals High-throughput formation and image-based analysis of basal-in mammary organoids in 384-well plates

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Soojung Lee ◽  
Jonathan Chang ◽  
Sung-Min Kang ◽  
Eric Parigoris ◽  
Ji-Hoon Lee ◽  
...  
Keyword(s):  
Growth Factor ◽  
High Throughput ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Automated Analysis ◽  
Time Lapse ◽  
Culture Conditions ◽  
Live Cell ◽  
Future Research ◽  
Heparin Binding

AbstractThis manuscript describes a new method for forming basal-in MCF10A organoids using commercial 384-well ultra-low attachment (ULA) microplates and the development of associated live-cell imaging and automated analysis protocols. The use of a commercial 384-well ULA platform makes this method more broadly accessible than previously reported hanging drop systems and enables in-incubator automated imaging. Therefore, time points can be captured on a more frequent basis to improve tracking of early organoid formation and growth. However, one major challenge of live-cell imaging in multi-well plates is the rapid accumulation of large numbers of images. In this paper, an automated MATLAB script to handle the increased image load is developed. This analysis protocol utilizes morphological image processing to identify cellular structures within each image and quantify their circularity and size. Using this script, time-lapse images of aggregating and non-aggregating culture conditions are analyzed to profile early changes in size and circularity. Moreover, this high-throughput platform is applied to widely screen concentration combinations of Matrigel and epidermal growth factor (EGF) or heparin-binding EGF-like growth factor (HB-EGF) for their impact on organoid formation. These results can serve as a practical resource, guiding future research with basal-in MCF10A organoids.

scholarly journals Time resolved 3D live-cell imaging on implants

PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0205411
Author(s):  
Alexandra Ingendoh-Tsakmakidis ◽  
Lena Nolte ◽  
Andreas Winkel ◽  
Heiko Meyer ◽  
Anastasia Koroleva ◽  
...  
Keyword(s):  
Live Cell Imaging ◽  
Cell Imaging ◽  
Live Cell ◽  
Time Resolved

High‐Throughput Live Cell Imaging of Apoptosis

2010 ◽  
Vol 47 (1) ◽  
Author(s):  
J.C. Puigvert ◽  
Hans de Bont ◽  
Bob van de Water ◽  
Erik H.J. Danen
Keyword(s):  
High Throughput ◽  
Live Cell Imaging ◽  
Cell Imaging ◽  
Live Cell

High-throughput single-cell quantification using simple microwell-based cell docking and programmable time-course live-cell imaging

Lab on a Chip ◽  
2011 ◽  
Vol 11 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Min Cheol Park ◽  
Jae Young Hur ◽  
Hye Sung Cho ◽  
Sang-Hyun Park ◽  
Kahp Y. Suh
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Live Cell Imaging ◽  
Time Course ◽  
Cell Imaging ◽  
Live Cell ◽  
Cell Quantification
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