Comparison of the mean background Poisson parameter per pixel area () between sCMOS and EMCCD cameras.

<p>Images were recorded by sCMOS and EMCCD cameras focusing on same field of view (see <i>Dual camera same FOV experiment</i> in experiment subsection). For each camera, was first calculated in individual image tiles; plotted values represent the mean over all tiles, with error bar...

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Bibliographic Details
Main Author:	Dibyajyoti Mohanta (22560099) (author)
Other Authors:	Radhika Nambannor Kunnath (22560102) (author), Erik Clarkson (22560105) (author), Albertas Dvirnas (4926085) (author), Fredrik Westerlund (1285863) (author), Tobias Ambjörnsson (4167157) (author)
Published:	2025
Subjects:	Medicine Cell Biology Biotechnology Plant Biology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified truncated fit technique imaging biological samples photophysical image analysis perform image thresholding approach incorporates poisson moderate exposure images camera read noise camera parameters determined div >< p separating background pixels general scmos image scmos camera signal pixels poisson parameter noise modelling background parameters images captured emccd images xlink "> would ideally study introduces square test segmentation using scmos cameras quantum efficiency photons collected parameter called mean number lambda distribution estimate directly emccd cameras effective tool dark current comparing estimates background pixel align well
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Comparison of the mean background Poisson parameter per pixel area () between sCMOS and EMCCD cameras.

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