↓ Skip to main content

High Content Screening

Overview of attention for book
Cover of 'High Content Screening'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Applications and Caveats on the Utilization of DNA-Specific Probes in Cell-Based Assays
  3. Altmetric Badge
    Chapter 2 General Staining and Segmentation Procedures for High Content Imaging and Analysis
  4. Altmetric Badge
    Chapter 3 Tools to Measure Cell Health and Cytotoxicity Using High Content Imaging and Analysis
  5. Altmetric Badge
    Chapter 4 Cell-Based High Content Analysis of Cell Proliferation and Apoptosis
  6. Altmetric Badge
    Chapter 5 Tools to Measure Autophagy Using High Content Imaging and Analysis
  7. Altmetric Badge
    Chapter 6 Guidelines for Microplate Selection in High Content Imaging
  8. Altmetric Badge
    Chapter 7 Quality Control for High-Throughput Imaging Experiments Using Machine Learning in Cellprofiler
  9. Altmetric Badge
    Chapter 8 High-Content Screening Approaches That Minimize Confounding Factors in RNAi, CRISPR, and Small Molecule Screening
  10. Altmetric Badge
    Chapter 9 Strategies and Solutions to Maintain and Retain Data from High Content Imaging, Analysis, and Screening Assays
  11. Altmetric Badge
    Chapter 10 Live-Cell High Content Screening in Drug Development
  12. Altmetric Badge
    Chapter 11 Challenges and Opportunities in Enabling High-Throughput, Miniaturized High Content Screening
  13. Altmetric Badge
    Chapter 12 Translocation Biosensors—Versatile Tools to Probe Protein Functions in Living Cells
  14. Altmetric Badge
    Chapter 13 High Content Positional Biosensor Assay to Screen for Compounds that Prevent or Disrupt Androgen Receptor and Transcription Intermediary Factor 2 Protein-Protein Interactions
  15. Altmetric Badge
    Chapter 14 High Content Imaging Assays for IL-6-Induced STAT3 Pathway Activation in Head and Neck Cancer Cell Lines
  16. Altmetric Badge
    Chapter 15 Single Cell and Population Level Analysis of HCA Data
  17. Altmetric Badge
    Chapter 16 Utilization of Multidimensional Data in the Analysis of Ultra-High-Throughput High Content Phenotypic Screens
  18. Altmetric Badge
    Chapter 17 High Content Screening of Mammalian Primary Cortical Neurons
  19. Altmetric Badge
    Chapter 18 Human-Derived Neurons and Neural Progenitor Cells in High Content Imaging Applications
  20. Altmetric Badge
    Chapter 19 Determination of Hepatotoxicity in iPSC-Derived Hepatocytes by Multiplexed High Content Assays
  21. Altmetric Badge
    Chapter 20 The Generation of Three-Dimensional Head and Neck Cancer Models for Drug Discovery in 384-Well Ultra-Low Attachment Microplates
  22. Altmetric Badge
    Chapter 21 An Endothelial Cell/Mesenchymal Stem Cell Coculture Cord Formation Assay to Model Vascular Biology In Vitro
  23. Altmetric Badge
    Chapter 22 High-Throughput Automated Chemical Screens in Zebrafish
  24. Altmetric Badge
    Chapter 23 Erratum to: High Content Screening
Attention for Chapter 10: Live-Cell High Content Screening in Drug Development
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
37 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Live-Cell High Content Screening in Drug Development
Chapter number 10
Book title
High Content Screening
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7357-6_10
Pubmed ID
Book ISBNs
978-1-4939-7355-2, 978-1-4939-7357-6
Authors

Milan Esner, Felix Meyenhofer, Marc Bickle, Esner, Milan, Meyenhofer, Felix, Bickle, Marc

Abstract

In the past decade, automated microscopy has become an important tool for the drug discovery and development process. The establishment of imaging modalities as screening tools depended on technological breakthroughs in the domain of automated microscopy and automated image analysis. These types of assays are often referred to as high content screening or high content analysis (HCS/HCA). The driving force to adopt imaging for drug development is the quantity and quality of cellular information that can be collected and the enhanced physiological relevance of cellular screening compared to biochemical screening. Most imaging in drug development is performed on fixed cells as this allows uncoupling the preparation of the cells from the acquisition of the images. Live-cell imaging is technically challenging, but is very useful for many aspects of the drug development pipeline such as kinetic studies of compound mode of action or to analyze the motion of cellular components. Most vendors of HCS microscopy systems offer the option of environmental chambers and onboard pipetting on their platforms. This reflects the wish and desire of many customers to have the ability to perform live-cell assays on their HCS automated microscopes. This book chapter summarizes the challenges and advantages of live-cell imaging in drug discovery. Examples of applications are presented and the motivation to perform these assays in kinetic mode is discussed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 30%
Student > Bachelor 5 14%
Student > Master 5 14%
Researcher 3 8%
Student > Doctoral Student 2 5%
Other 1 3%
Unknown 10 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 19%
Engineering 4 11%
Agricultural and Biological Sciences 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Physics and Astronomy 2 5%
Other 7 19%
Unknown 11 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 November 2018.
All research outputs
#5,943,263
of 23,007,053 outputs
Outputs from Methods in molecular biology
#1,727
of 13,159 outputs
Outputs of similar age
#119,346
of 442,275 outputs
Outputs of similar age from Methods in molecular biology
#151
of 1,498 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,159 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,275 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.