| Chapter title |
Overview of Fluorescence Lifetime Measurements in Flow Cytometry
|
|---|---|
| Chapter number | 18 |
| Book title |
Flow Cytometry Protocols
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7346-0_18 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7344-6, 978-1-4939-7346-0
|
| Authors |
Jessica P. Houston, Zhihua Yang, Jesse Sambrano, Wenyan Li, Kapil Nichani, Giacomo Vacca |
| Abstract |
The focus of this chapter is time-resolved flow cytometry, which is broadly defined as the ability to measure the timing of fluorescence decay from excited fluorophores that pass through cytometers or high-throughput cell counting and cell sorting instruments. We focus on this subject for two main reasons: first, to discuss the nuances of hardware and software modifications needed for these measurements because currently, there are no widespread time-resolved cytometers nor a one-size-fits-all approach; and second, to summarize the application space for fluorescence lifetime-based cell counting/sorting owing to the recent increase in the number of investigators interested in this approach. Overall, this chapter is structured into three sections: (1) theory of fluorescence decay kinetics, (2) modern time-resolved flow cytometry systems, and (3) cell counting and sorting applications. These commentaries are followed by conclusions and discussion about new directions and opportunities for fluorescence lifetime measurements in flow cytometry. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 24% |
| Professor | 3 | 8% |
| Researcher | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 13 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 24% |
| Chemistry | 4 | 11% |
| Engineering | 2 | 5% |
| Neuroscience | 2 | 5% |
| Physics and Astronomy | 2 | 5% |
| Other | 7 | 19% |
| Unknown | 11 | 30% |