| Chapter title |
Application of Imaging-Based Assays in Microplate Formats for High-Content Screening
|
|---|---|
| Chapter number | 18 |
| Book title |
High Throughput Screening
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3673-1_18 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3671-7, 978-1-4939-3673-1
|
| Authors |
Adam I. Fogel, Scott E. Martin, Samuel A. Hasson, Fogel, Adam I., Martin, Scott E., Hasson, Samuel A. |
| Abstract |
The use of multiparametric microscopy-based screens with automated analysis has enabled the large-scale study of biological phenomena that are currently not measurable by any other method. Collectively referred to as high-content screening (HCS), or high-content analysis (HCA), these methods rely on an expanding array of imaging hardware and software automation. Coupled with an ever-growing amount of diverse chemical matter and functional genomic tools, HCS has helped open the door to a new frontier of understanding cell biology through phenotype-driven screening. With the ability to interrogate biology on a cell-by-cell basis in highly parallel microplate-based platforms, the utility of HCS continues to grow as advancements are made in acquisition speed, model system complexity, data management, and analysis systems. This chapter uses an example of screening for genetic factors regulating mitochondrial quality control to exemplify the practical considerations in developing and executing high-content campaigns. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Business, Management and Accounting | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |