Nonlinear curve-fitting methods for time-resolved data analysis

Ignacy Gryczynski, Rafal Luchowski, Shashank Bharill, Julian Borejdo, Zygmunt Gryczynski

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

Time-resolved fluorescence spectroscopy and recently time-resolved fluorescence microscopy have proven to be powerful technologies for studying macromolecular interactions and dynamics in biological systems on the subpicosecond to millisecond timescale. In complex biological systems including membranes, nuclei, or even entire cells, the fluorescence decay kinetics can reveal detailed information about intrinsic relaxation mechanisms, macromolecular interactions, conformational changes, and dynamics of complex molecular processes. Depending on the excitation type, the instrumental methods for measuring fluorescence intensity decays (fluorescence lifetimes) traditionally are divided into two dominant methods: time domain (O’Connor and Philips 1984; Birch and Imhof 1991; Demas 1983; Chapter 6) and frequency domain (Gratton and Limkeman 1983; Gratton et al. 1984; Lakowicz 1999; Chapter 5).

Original languageEnglish
Title of host publicationFlim Microscopy in Biology and Medicine
PublisherCRC Press
Pages341-369
Number of pages29
ISBN (Electronic)9781420078916
ISBN (Print)9781420078909
StatePublished - 1 Jan 2009

Fingerprint

curve fitting
Curve fitting
Fluorescence
Biological systems
fluorescence
Betula
Fluorescence microscopy
Fluorescence Spectrometry
Fluorescence spectroscopy
Molecular Dynamics Simulation
Fluorescence Microscopy
Technology
Membranes
decay
Kinetics
interactions
membranes
microscopy
life (durability)
nuclei

Cite this

Gryczynski, I., Luchowski, R., Bharill, S., Borejdo, J., & Gryczynski, Z. (2009). Nonlinear curve-fitting methods for time-resolved data analysis. In Flim Microscopy in Biology and Medicine (pp. 341-369). CRC Press.
Gryczynski, Ignacy ; Luchowski, Rafal ; Bharill, Shashank ; Borejdo, Julian ; Gryczynski, Zygmunt. / Nonlinear curve-fitting methods for time-resolved data analysis. Flim Microscopy in Biology and Medicine. CRC Press, 2009. pp. 341-369
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Gryczynski, I, Luchowski, R, Bharill, S, Borejdo, J & Gryczynski, Z 2009, Nonlinear curve-fitting methods for time-resolved data analysis. in Flim Microscopy in Biology and Medicine. CRC Press, pp. 341-369.

Nonlinear curve-fitting methods for time-resolved data analysis. / Gryczynski, Ignacy; Luchowski, Rafal; Bharill, Shashank; Borejdo, Julian; Gryczynski, Zygmunt.

Flim Microscopy in Biology and Medicine. CRC Press, 2009. p. 341-369.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Gryczynski I, Luchowski R, Bharill S, Borejdo J, Gryczynski Z. Nonlinear curve-fitting methods for time-resolved data analysis. In Flim Microscopy in Biology and Medicine. CRC Press. 2009. p. 341-369