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Description
  • Fluorescence microscopy using single molecule imaging and localization (PALM,STORM, and similar approaches) has quickly been adopted as a convenient method for obtaining multicolor, 3D superresolution images of biological samples. Using an approach based on extensive Monte Carlo simulations, we examined the performance of various noise reducing filters required for the detection of candidate molecules. We determined a suitable noise reduction method and derived an optimal, nonlinear threshold which minimizes detection errors introduced by conventional algorithms. We also present a new technique for visualization of single molecule localization microscopy data based on adaptively jittered 2D histograms. We have used our new methods to image both Atto565-phalloidin labeled actin in fibroblast cells, and mCitrine-erbB3 expressed in A431 cells. The enhanced methods developed here were crucial in processing the data we obtained from these samples,as the overall signal to noise ratio was quite low.
  • Fluorescence microscopy using single molecule imaging and localization (PALM,STORM, and similar approaches) has quickly been adopted as a convenient method for obtaining multicolor, 3D superresolution images of biological samples. Using an approach based on extensive Monte Carlo simulations, we examined the performance of various noise reducing filters required for the detection of candidate molecules. We determined a suitable noise reduction method and derived an optimal, nonlinear threshold which minimizes detection errors introduced by conventional algorithms. We also present a new technique for visualization of single molecule localization microscopy data based on adaptively jittered 2D histograms. We have used our new methods to image both Atto565-phalloidin labeled actin in fibroblast cells, and mCitrine-erbB3 expressed in A431 cells. The enhanced methods developed here were crucial in processing the data we obtained from these samples,as the overall signal to noise ratio was quite low. (en)
Title
  • Minimizing detection errors in single molecule localization microscopy
  • Minimizing detection errors in single molecule localization microscopy (en)
skos:prefLabel
  • Minimizing detection errors in single molecule localization microscopy
  • Minimizing detection errors in single molecule localization microscopy (en)
skos:notation
  • RIV/00216208:11110/11:10550!RIV12-GA0-11110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA304/09/1047), P(LC535), Z(MSM0021620806)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 212623
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11110/11:10550
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • fluorescence microscopy; image processing; fluorescent-probes; superresolution; nanoscale; cells (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [02AD79BF644C]
http://linked.open...i/riv/nazevZdroje
  • Optics Express
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 19
http://linked.open...iv/tvurceVysledku
  • Raška, Ivan
  • Hagen, Guy Michael
  • Křížek, Pavel
http://linked.open...ain/vavai/riv/wos
  • 000288860000041
http://linked.open...n/vavai/riv/zamer
issn
  • 1094-4087
number of pages
http://localhost/t...ganizacniJednotka
  • 11110
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