↓ Skip to main content

Cell Viability Assays

Overview of attention for book
Cover of 'Cell Viability Assays'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Basic Colorimetric Proliferation Assays: MTT, WST, and Resazurin
  3. Altmetric Badge
    Chapter 2 Assaying Cellular Viability Using the Neutral Red Uptake Assay
  4. Altmetric Badge
    Chapter 3 Assessment of Cell Viability with Single-, Dual-, and Multi-Staining Methods Using Image Cytometry
  5. Altmetric Badge
    Chapter 4 High-Throughput Spheroid Screens Using Volume, Resazurin Reduction, and Acid Phosphatase Activity
  6. Altmetric Badge
    Chapter 5 A Protocol for In Vitro High-Throughput Chemical Susceptibility Screening in Differentiating NT2 Stem Cells
  7. Altmetric Badge
    Chapter 6 Ferroptosis and Cell Death Analysis by Flow Cytometry
  8. Altmetric Badge
    Chapter 7 Assaying Mitochondrial Respiration as an Indicator of Cellular Metabolism and Fitness
  9. Altmetric Badge
    Chapter 8 An ATP-Based Luciferase Viability Assay for Animal African Trypanosomes Using a 96-Well Plate
  10. Altmetric Badge
    Chapter 9 SYBR® Green I-Based Fluorescence Assay to Assess Cell Viability of Malaria Parasites for Routine Use in Compound Screening
  11. Altmetric Badge
    Chapter 10 Screening Applications to Test Cellular Fitness in Transwell® Models After Nanoparticle Treatment
  12. Altmetric Badge
    Chapter 11 Assays for Analyzing the Role of Transport Proteins in the Uptake and the Vectorial Transport of Substances Affecting Cell Viability
  13. Altmetric Badge
    Chapter 12 Metabolite Profiling of Mammalian Cell Culture Processes to Evaluate Cellular Viability
  14. Altmetric Badge
    Chapter 13 Assaying Spontaneous Network Activity and Cellular Viability Using Multi-well Microelectrode Arrays
  15. Altmetric Badge
    Chapter 14 Quantitative Ratiometric Ca2+ Imaging to Assess Cell Viability
  16. Altmetric Badge
    Chapter 15 Functional Viability: Measurement of Synaptic Vesicle Pool Sizes
  17. Altmetric Badge
    Chapter 16 Phenotyping Cellular Viability by Functional Analysis of Ion Channels: GlyR-Targeted Screening in NT2-N Cells
  18. Altmetric Badge
    Chapter 17 Systematic Cell-Based Phenotyping of Missense Alleles
  19. Altmetric Badge
    Chapter 18 Second Harmonic Generation Microscopy of Muscle Cell Morphology and Dynamics
  20. Altmetric Badge
    Chapter 19 Assessment of Population and ECM Production Using Multiphoton Microscopy as an Indicator of Cell Viability
  21. Altmetric Badge
    Chapter 20 Average Rheological Quantities of Cells in Monolayers
  22. Altmetric Badge
    Chapter 21 Measurement of Cellular Behavior by Electrochemical Impedance Sensing
  23. Altmetric Badge
    Chapter 22 Nano-QSAR Model for Predicting Cell Viability of Human Embryonic Kidney Cells
  24. Altmetric Badge
    Chapter 23 Erratum to: Functional Viability: Measurement of Synaptic Vesicle Pool Sizes
  25. Altmetric Badge
    Chapter 24 Erratum to: Phenotyping Cellular Viability by Functional Analysis of Ion Channels: GlyR-Targeted Screening in NT2-N Cells
Attention for Chapter 10: Screening Applications to Test Cellular Fitness in Transwell® Models After Nanoparticle Treatment
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
5 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
Screening Applications to Test Cellular Fitness in Transwell® Models After Nanoparticle Treatment
Chapter number 10
Book title
Cell Viability Assays
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6960-9_10
Pubmed ID
Book ISBNs
978-1-4939-6959-3, 978-1-4939-6960-9
Authors

Bastian Christ, Christina Fey, Alevtina Cubukova, Heike Walles, Sofia Dembski, Marco Metzger, Christ, Bastian, Fey, Christina, Cubukova, Alevtina, Walles, Heike, Dembski, Sofia, Metzger, Marco

Editors

Daniel F. Gilbert, Oliver Friedrich

Abstract

Nanoparticles (NPs) in biotechnology hold great promise for revolutionizing medical treatments and therapies. In order to bring NPs into clinical application there is a number of preclinical in vitro and in vivo tests, which have to be applied before. The initial in vitro evaluation includes a detailed physicochemical characterization as well as biocompatibility tests, among others. For determination of biocompatibility at the cellular level, the correct choice of the in vitro assay as well as NP pretreatment is absolutely essential. There are a variety of assay technologies available that use standard plate readers to measure metabolic markers to estimate the number of viable cells in culture. Each cell viability assay has its own set of advantages and disadvantages. Regardless of the assay method chosen, the major factors critical for reproducibility and success include: (1) choosing the right assay after comparing optical NP properties with the read-out method of the assay, (2) verifying colloidal stability of NPs in cell culture media, (3) preparing a sterile and stable NP dispersion in cell culture media used in the assay, (4) using a tightly controlled and consistent cell model allowing appropriate characterization of NPs. This chapter will briefly summarize these different critical points, which can occur during biocompatibility screening applications of NPs.

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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 80%
Student > Bachelor 1 20%
Readers by discipline Count As %
Medicine and Dentistry 2 40%
Pharmacology, Toxicology and Pharmaceutical Science 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Engineering 1 20%
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 20 February 2018.
All research outputs
#20,418,183
of 22,968,808 outputs
Outputs from Methods in molecular biology
#9,928
of 13,142 outputs
Outputs of similar age
#356,025
of 421,088 outputs
Outputs of similar age from Methods in molecular biology
#842
of 1,074 outputs
Altmetric has tracked 22,968,808 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 13,142 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 421,088 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 1,074 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.