2020
DOI: 10.1242/jcs.242834
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Optimizing live-cell fluorescence imaging conditions to minimize phototoxicity

Abstract: Fluorescence illumination can cause phototoxicity that negatively affects living samples. This study demonstrates that much of the phototoxicity and photobleaching experienced with live-cell fluorescence imaging occurs as a result of “illumination overhead” (IO). This occurs when a sample is illuminated but fluorescence emission is not being captured by the microscope camera. Several technological advancements have been developed, including fast-switching LED lamps and transistor-transistor logic (TTL) circuit… Show more

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Cited by 66 publications
(69 citation statements)
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“…To verify the results of our semiautomatic analysis, a custom algorithm was created in MATLAB (35,115). Here, a spline curve was first fitted to each intensity trace to identify segments of assembly and disassembly.…”
Section: Imaging Adhesion Turnover − Nmumgmentioning
confidence: 99%
“…To verify the results of our semiautomatic analysis, a custom algorithm was created in MATLAB (35,115). Here, a spline curve was first fitted to each intensity trace to identify segments of assembly and disassembly.…”
Section: Imaging Adhesion Turnover − Nmumgmentioning
confidence: 99%
“…Some of our results contradict previous studies, especially the absence of a correlation between photomorbidity and the intensity of the excitation light ( Dixit and Cyr 2003 ; Logg et al 2009 ) as well as a lack of effects on photomorbidity and background fluorescence from pulsed illumination regimes ( Nishigaki et al 2006 ; Boudreau et al 2016 ). Some of these discrepancies are most likely explained by unaccounted for hardware delays, as has been shown recently ( Kiepas et al 2020 ). However, our inability to confirm the benefits of pulsed illumination will require further investigation.…”
Section: Discussionmentioning
confidence: 58%
“…We measured that the sample is illuminated for an additional 187 ms compared to the set exposure time in our system ( Figure S4), a hardware delay similar to previous reports (Magidson and Khodjakov 2013;Kiepas et al 2020). Next, we determined the spectra and intensity of our light sources in combination with commonly used excitation filters and beamsplitters ( Figure S5,…”
Section: Data Availabilitymentioning
confidence: 99%
“…With improvements in cell viability resulting from the former, this achieves not only insightful but accurate data. 3…”
Section: Taking Speed One Step Furthermentioning
confidence: 99%