Image-Based High-Content Analysis, Stem Cells and Nanomedicines: A Novel Strategy for Drug Discovery

2016 ◽  
pp. 663-686
Keyword(s):  
Stem Cells ◽  
Content Analysis ◽  
Drug Discovery ◽  
High Content Analysis ◽  
Novel Strategy

scholarly journals FLIM FRET Technology for Drug Discovery: Automated Multiwell‐Plate High‐Content Analysis, Multiplexed Readouts and Application in Situ

ChemPhysChem ◽  
2011 ◽  
Vol 12 (3) ◽  
pp. 609-626 ◽  
Author(s):  
Sunil Kumar ◽  
Dominic Alibhai ◽  
Anca Margineanu ◽  
Romain Laine ◽  
Gordon Kennedy ◽  
...  
Keyword(s):  
Content Analysis ◽  
Drug Discovery ◽  
High Content Analysis

scholarly journals High-Content Analysis of CRISPR-Cas9 Gene-Edited Human Embryonic Stem Cells

2016 ◽  
Vol 6 (1) ◽  
pp. 109-120 ◽  
Author(s):  
Jared Carlson-Stevermer ◽  
Madelyn Goedland ◽  
Benjamin Steyer ◽  
Arezoo Movaghar ◽  
Meng Lou ◽  
...  
Keyword(s):  
Stem Cells ◽  
Content Analysis ◽  
Embryonic Stem Cells ◽  
Human Embryonic Stem Cells ◽  
Embryonic Stem ◽  
High Content Analysis

scholarly journals High Content Analysis of Primary Macrophages Hosting Proliferating Leishmania Amastigotes: Application to Anti-leishmanial Drug Discovery

2013 ◽  
Vol 7 (4) ◽  
pp. e2154 ◽  
Author(s):  
Nathalie Aulner ◽  
Anne Danckaert ◽  
Eline Rouault-Hardoin ◽  
Julie Desrivot ◽  
Olivier Helynck ◽  
...  
Keyword(s):  
Content Analysis ◽  
Drug Discovery ◽  
High Content Analysis ◽  
Leishmania Amastigotes

scholarly journals 3D Cell-Based Assays for Drug Screens: Challenges in Imaging, Image Analysis, and High-Content Analysis

2019 ◽  
Vol 24 (6) ◽  
pp. 615-627 ◽  
Author(s):  
Tijmen H. Booij ◽  
Leo S. Price ◽  
Erik H. J. Danen
Keyword(s):  
Content Analysis ◽  
Drug Discovery ◽  
High Throughput Screening ◽  
3D Cell Culture ◽  
Automated Analysis ◽  
In Vivo Models ◽  
Current Switch ◽  
High Content Analysis

The introduction of more relevant cell models in early preclinical drug discovery, combined with high-content imaging and automated analysis, is expected to increase the quality of compounds progressing to preclinical stages in the drug development pipeline. In this review we discuss the current switch to more relevant 3D cell culture models and associated challenges for high-throughput screening and high-content analysis. We propose that overcoming these challenges will enable front-loading the drug discovery pipeline with better biology, extracting the most from that biology, and, in general, improving translation between in vitro and in vivo models. This is expected to reduce the proportion of compounds that fail in vivo testing due to a lack of efficacy or to toxicity.

scholarly journals Identifying and Quantifying Heterogeneity in High Content Analysis: Application of Heterogeneity Indices to Drug Discovery

PLoS ONE ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. e102678 ◽  
Author(s):  
Albert H. Gough ◽  
Ning Chen ◽  
Tong Ying Shun ◽  
Timothy R. Lezon ◽  
Robert C. Boltz ◽  
...  
Keyword(s):  
Content Analysis ◽  
Drug Discovery ◽  
Analysis Application ◽  
High Content Analysis

scholarly journals 575. High Content Analysis of CRISPR-Cas9 Gene-Edited Human Embryonic Stem Cells

2016 ◽  
Vol 24 ◽  
pp. S229-S230
Author(s):  
Jared Carlson-Stevermer ◽  
Madelyn Goedland ◽  
Benjamin Steyer ◽  
Arezoo Movaghar ◽  
Meng Lou ◽  
...  
Keyword(s):  
Stem Cells ◽  
Content Analysis ◽  
Embryonic Stem Cells ◽  
Human Embryonic Stem Cells ◽  
Embryonic Stem ◽  
High Content Analysis

High-Content Analysis in Preclinical Drug Discovery

2008 ◽  
Vol 11 (3) ◽  
pp. 216-230 ◽  
Author(s):  
Philip Denner ◽  
Janine Schmalowsky ◽  
Stefan Prechtl
Keyword(s):  
Content Analysis ◽  
Drug Discovery ◽  
High Content Analysis
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