TY - JOUR
T1 - Imaging diffusion in living cells using time-correlated single-photon counting
AU - Roth, Christian M.
AU - Heinlein, Pia I.
AU - Heilemann, Mike
AU - Herten, Dirk-Peter
PY - 2007/9/6
Y1 - 2007/9/6
N2 - Current efforts to monitor the diffusion of proteins in living cells are based on either fluorescence correlation spectroscopy (FCS), fluorescence recovery after photobleaching, or image correlation spectroscopy. However, these methods cannot generate a map of diffusion times. Here, we introduce a new method termed diffusion imaging microscopy that combines scanning confocal microscopy, time-correlated single-photon counting, and FCS and thus allows us to measure spatially resolved diffusion times. In our approach, we record scan images with time-resolved photon streams within each individual pixel. By extending the pixel dwell time to 25−100 ms, a software correlation of individual photons within each pixel yields the average diffusion time. Additionally, information on fluorescence intensity (number of photons) and fluorescence lifetime is available and can be used to sort fluorescence photons and to discriminate from autofluorescence. We evaluated our method by measuring diffusion times of dT20-TMR in solutions of different viscosity. We further demonstrate the applicability of the method to living cells and recorded a diffusion map of a living 3T3 mouse fibroblast incubated with dT20-ATTO488.
AB - Current efforts to monitor the diffusion of proteins in living cells are based on either fluorescence correlation spectroscopy (FCS), fluorescence recovery after photobleaching, or image correlation spectroscopy. However, these methods cannot generate a map of diffusion times. Here, we introduce a new method termed diffusion imaging microscopy that combines scanning confocal microscopy, time-correlated single-photon counting, and FCS and thus allows us to measure spatially resolved diffusion times. In our approach, we record scan images with time-resolved photon streams within each individual pixel. By extending the pixel dwell time to 25−100 ms, a software correlation of individual photons within each pixel yields the average diffusion time. Additionally, information on fluorescence intensity (number of photons) and fluorescence lifetime is available and can be used to sort fluorescence photons and to discriminate from autofluorescence. We evaluated our method by measuring diffusion times of dT20-TMR in solutions of different viscosity. We further demonstrate the applicability of the method to living cells and recorded a diffusion map of a living 3T3 mouse fibroblast incubated with dT20-ATTO488.
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000249871000022&KeyUID=WOS:000249871000022
U2 - 10.1021/ac071039q
DO - 10.1021/ac071039q
M3 - Article
SN - 0003-2700
JO - Analytical Chemistry
JF - Analytical Chemistry
ER -