Abstract
Roughly half of a cell's proteins are located at or near the plasma membrane. In this restricted space, the cell senses its environment, signals to its neighbors, and exchanges cargo through exo- and endocytotic mechanisms. Ligands bind to receptors, ions flow across channel pores, and transmitters and metabolites are transported against concentration gradients. Receptors, ion channels, pumps, and transporters are the molecular substrates of these biological processes, and they constitute important targets for drug discovery. Total internal reflection fluorescence (TIRF) microscopy suppresses the background from the cell's deeper layers and provides contrast for selectively imaging dynamic processes near the basal membrane of live cells. The optical sectioning of TIRF is based on the excitation confinement of the evanescent wave generated at the glass/cell interface. How deep the excitation light actually penetrates the sample is difficult to know, making the quantitative interpretation of TIRF data problematic. Nevertheless, many applications like superresolution microscopy, colocalization, Förster resonance energy transfer, near-membrane fluorescence recovery after photobleaching, uncaging or photoactivation/switching as well as single-particle tracking require the quantitative interpretation of evanescent-wave-excited images. Here, we review existing techniques for characterizing evanescent fields, and we provide a roadmap for comparing TIRF data across images, experiments, and laboratories.
Original language | English |
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Pages (from-to) | 795-809 |
Number of pages | 15 |
Journal | Biophysical Journal |
Volume | 117 |
Issue number | 5 |
DOIs | |
State | Published - 3 Sep 2019 |
Bibliographical note
Publisher Copyright:© 2019 Biophysical Society
Funding
Recent work in our labs related to TIRF and SAF microscopy was financed by the Agence Nationale de la Recherche ( ANR-10-INSB-04-01 , grands investissements France-BioImaging to M.O.), a Chaire d’Excellence Junior Université Sorbonne Paris Cité to M.B., and the Université Paris Descartes (to A.S.). M.O. and A.S. acknowledge support from a French-Israeli CNRS-WIS ImagiNano LIA grant. M.O. was supported by a Joseph Meyerhoff Invited Professorship of the WIS . U.B. acknowledges funding from the Deutsche Forschungsgemeinschaft ( CRC894 ).
Funders | Funder number |
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WIS | |
Deutsche Forschungsgemeinschaft | CRC894 |
Agence Nationale de la Recherche | ANR-10-INSB-04-01 |
Université Paris Descartes |