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10.1364/BOE.5.001822

http://scihub22266oqcxt.onion/10.1364/BOE.5.001822
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C4052850!4052850 !24940543
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suck abstract from ncbi


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pmid24940543
      Biomed+Opt+Express 2014 ; 5 (6 ): 1822-38
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  • Image simulation for biological microscopy: microlith #MMPMID24940543
  • Mehta SB ; Oldenbourg R
  • Biomed Opt Express 2014[Jun]; 5 (6 ): 1822-38 PMID24940543 show ga
  • Image simulation remains under-exploited for the most widely used biological phase microscopy methods, because of difficulties in simulating partially coherent illumination. We describe an open-source toolbox, microlith (https://code.google.com/p/microlith), which accurately predicts three-dimensional images of a thin specimen observed with any partially coherent imaging system, as well as images of coherently illuminated and self-luminous incoherent specimens. Its accuracy is demonstrated by comparing simulated and experimental bright-field and dark-field images of well-characterized amplitude and phase targets, respectively. The comparison provides new insights about the sensitivity of the dark-field microscope to mass distributions in isolated or periodic specimens at the length-scale of 10nm. Based on predictions using microlith, we propose a novel approach for detecting nanoscale structural changes in a beating axoneme using a dark-field microscope.
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