Relationship of the estimated background Poisson parameter () with the exposure time of the sCMOS camera.

<p>We show the average background Poisson parameter (over all tiles) for images with exposure times (1–1000 ms). The inset shows zoomed version of the image for 1–16 ms. Notice that increases linearly with exposure time, as it should (since the number of collected photons increases linearly wi...

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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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Relationship of the estimated background Poisson parameter () with the exposure time of the sCMOS camera.

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