2019
DOI: 10.1016/j.bpj.2019.09.045
|View full text |Cite
|
Sign up to set email alerts
|

Raster Image Correlation Spectroscopy Performance Evaluation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4
2
1
1

Relationship

2
6

Authors

Journals

citations
Cited by 13 publications
(13 citation statements)
references
References 27 publications
0
11
0
Order By: Relevance
“…Parallel application of both techniques allow identifying and characterizing different possible mobile protein populations [41]. Essential to this is choosing imaging conditions suited to the type of diffusion process (for RICS, see [42], for TICS, see [43]).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Parallel application of both techniques allow identifying and characterizing different possible mobile protein populations [41]. Essential to this is choosing imaging conditions suited to the type of diffusion process (for RICS, see [42], for TICS, see [43]).…”
Section: Resultsmentioning
confidence: 99%
“…This revealed that the species observed with RICS still exhibited faster diffusion than those observed with TICS when measured at RT, and thus indeed represents a different subpopulation. Images were collected using parameters appropriate for RICS [42], i.e. 256×256 pixels 2 with a 50 nm pixel size.…”
Section: Methodsmentioning
confidence: 99%
“…For example, a dwell time of 25 μs and pixel size ≤0.05 μm can measure the diffusion of a 25 kDa cytoplasmic protein by the second or third pixel scanned [115,124]. Longfils et al observed a 3-5-fold decrease in error on the diffusion constant by decreasing pixel size from 100 to 50 nm and they also observed consistent high quality RICS data over a board concentration range from nM to μM [131]. Minimum ROI of 2 μm × 2 μm is recommended by Brown et al to prevent under-sampling.…”
Section: Raster Image Correlation Spectroscopy (Rics)mentioning
confidence: 94%
“…The most interesting feature of CLSM is the capability for single-cell microscopic spectroscopy, which allows obtaining spectroscopic information inside small regions and single cells [35]. Another group of facilities deals with the quantitative analysis of dynamic processes in living cells using techniques such as fluorescence recovery after photobleaching (FRAP) [129,130], fluorescence resonance energy transfer (FRET), fluorescence lifetime imaging microscopy (FLIM) [131], photoactivation, and photoconversion. Recently, a lot of additional techniques appear in modern CLSMs, which open new perspectives for single-cell investigation, such as white laser, which provides the ability to obtain not only fluorescence emission spectra, but also single-cell excitation and absorption spectra [132]; hyperspectral CLSM that allows more precise fluorescence spectra through the cell thickness and gives more detailed fluorescent pigments location [34,133]; and STED and multiphotonic techniques, which extend the CLSM abilities to single-molecular studies [134,135].…”
Section: Confocal Microscopic Spectroscopymentioning
confidence: 99%
“…For example, a dwell time of 25 μs and pixel size ≤0.05 μm can measure the diffusion of a 25 kDa cytoplasmic protein by the second or third pixel scanned [115,124]. Longfils et al observed a 3-5-fold decrease in error on the diffusion constant by decreasing pixel size from 100 to 50 nm and they also observed consistent high quality RICS data over a board concentration range from nM to μM [131]. Minimum ROI of 2 μm × 2 μm is recommended by Brown et al to prevent under-sampling.…”
Section: Raster Image Correlation Spectroscopy (Rics)mentioning
confidence: 99%