ArticleScientific reports2021
A gain series method for accurate EMCCD calibration.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Nonuniform Chemical Passivation Dynamics in Monolayer MoSThe journal of physical chemistry letters · 2026Article
- Denoising for high-magnification bioluminescence imaging of cells by machine learning with physics-based noise modeling of EMCCD.Biophysics and physicobiology · 2026Article
- Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting.Biophysical journal · 2025Article
- Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting.bioRxiv : the preprint server for biology · 2025Article
- Performance Calibration of the Wavefront Sensor's EMCCD Detector for the Cool Planets Imaging Coronagraph Aboard CSST.Journal of imaging · 2025Article
- MetaMax: an objective-sized instrument for advanced light microscope characterization and performance metadata collection.Optics express · 2025Article
- Photophysical image analysis: Unsupervised probabilistic thresholding for images from electron-multiplying charge-coupled devices.PloS one · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Calibration of the gain and digital conversion factor of an EMCCD is necessary for accurate photon counting. We present a new method to quickly calibrate multiple gain settings of an EMCCD camera. Acquiring gain-series calibration data and analyzing the resulting images with the EMCCD noise model more accurately estimates the gain response of the camera. Furthermore, we develop a method to compare the results from different calibration approaches. Gain-series calibration outperforms all other methods in this self-consistency test.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.