Waveguide evanescent field fluorescence microscopy: Thin film fluorescence intensities and its application in cell biology

2008 ◽  
Vol 92 (23) ◽  
pp. 233503 ◽  
Author(s):  
Abdollah Hassanzadeh ◽  
Michael Nitsche ◽  
Silvia Mittler ◽  
Souzan Armstrong ◽  
Jeff Dixon ◽  
...  
2014 ◽  
Vol 8 (10) ◽  
pp. 826-837 ◽  
Author(s):  
Frederik Fleissner ◽  
Michael Morawitz ◽  
S. Jeffrey Dixon ◽  
Uwe Langbein ◽  
Silvia Mittler

Author(s):  
K. Jacobson ◽  
A. Ishihara ◽  
B. Holifield ◽  
F. Zhang

Our laboratory is concerned with understanding the dynamic structure of the plasma membrane with particular reference to the movement of membrane constituents during cell locomotion. In addition to the standard tools of molecular cell biology, we employ both fluorescence recovery after photo- bleaching (FRAP) and digitized fluorescence microscopy (DFM) to investigate individual cells. FRAP allows the measurement of translational mobility of membrane and cytoplasmic molecules in small regions of single, living cells. DFM is really a new form of light microscopy in that the distribution of individual classes of ions, molecules, and macromolecules can be followed in single, living cells. By employing fluorescent antibodies to defined antigens or fluorescent analogs of cellular constituents as well as ultrasensitive, electronic image detectors and video image averaging to improve signal to noise, fluorescent images of living cells can be acquired over an extended period without significant fading and loss of cell viability.


1994 ◽  
Vol 30 (1) ◽  
pp. 42-43 ◽  
Author(s):  
V.A. Kozlov ◽  
A.S. Svakhin ◽  
V.V. Ter-Mikirtychev

2020 ◽  
Vol 217 (24) ◽  
pp. 2000537
Author(s):  
Shailendra Kr. Singh ◽  
Uttam Kr. Samanta ◽  
Anirban Dhar ◽  
Mrinmay Pal ◽  
Mukul Chandra Paul

2013 ◽  
Vol 19 (1) ◽  
pp. 011017 ◽  
Author(s):  
Peter Favreau ◽  
Clarissa Hernandez ◽  
Ashley Stringfellow Lindsey ◽  
Diego F. Alvarez ◽  
Thomas Rich ◽  
...  

2018 ◽  
Vol 29 (6) ◽  
pp. 763-771 ◽  
Author(s):  
Robert D. Phair

Genetically encoded fluorescent proteins, combined with fluorescence microscopy, are widely used in cell biology to collect kinetic data on intracellular trafficking. Methods for extraction of quantitative information from these data are based on the mathematics of diffusion and tracer kinetics. Current methods, although useful and powerful, depend on the assumption that the cellular system being studied is in a steady state, that is, the assumption that all the molecular concentrations and fluxes are constant for the duration of the experiment. Here, we derive new tracer kinetic analytical methods for non–steady state biological systems by constructing mechanistic nonlinear differential equation models of the underlying cell biological processes and linking them to a separate set of differential equations governing the kinetics of the fluorescent tracer. Linking the two sets of equations is based on a new application of the fundamental tracer principle of indistinguishability and, unlike current methods, supports correct dependence of tracer kinetics on cellular dynamics. This approach thus provides a general mathematical framework for applications of GFP fluorescence microscopy (including photobleaching [FRAP, FLIP] and photoactivation to frequently encountered experimental protocols involving physiological or pharmacological perturbations (e.g., growth factors, neurotransmitters, acute knockouts, inhibitors, hormones, cytokines, and metabolites) that initiate mechanistically informative intracellular transients. When a new steady state is achieved, these methods automatically reduce to classical steady state tracer kinetic analysis.


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