↓ Skip to main content
What is this page? Embed badge

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 19: Determination of Hepatotoxicity in iPSC-Derived Hepatocytes by Multiplexed High Content Assays
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
17 Mendeley
Summary X
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
Determination of Hepatotoxicity in iPSC-Derived Hepatocytes by Multiplexed High Content Assays
Chapter number 19
Book title
High Content Screening
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7357-6_19
Pubmed ID
29082501
Book ISBNs
978-1-4939-7355-2, 978-1-4939-7357-6
Authors

Oksana Sirenko, Evan F. Cromwell, Sirenko, Oksana, Cromwell, Evan F.

Abstract

We present here methods for assessing hepatotoxicity by high content imaging and image analysis. The assays focus on the characterization of toxic effects using a variety of phenotypic endpoint readouts. Multi-parametric automated image analysis is used in the protocols to increase assay sensitivity and provide important information about possible in vitro toxicity mechanisms. iPSC-derived hepatocytes were used as a model for the hepatotoxicity assays, but the methods would also be suitable for other liver toxicity cell models. The methods contain detailed step-by-step descriptions of the cell treatment, staining, image acquisition, and image analysis.

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Student > Master 3 18%
Student > Bachelor 2 12%
Researcher 2 12%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 5 29%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 18%
Medicine and Dentistry 3 18%
Engineering 2 12%
Neuroscience 2 12%
Business, Management and Accounting 1 6%
Other 1 6%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 June 2018.
All research outputs
#20,451,228
of 23,007,053 outputs
Outputs from Methods in molecular biology
#9,941
of 13,159 outputs
Outputs of similar age
#378,112
of 442,275 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,159 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.