2012
DOI: 10.1364/josaa.29.000498
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High topographical accuracy by optical shot noise reduction in digital holographic microscopy

Abstract: In this work, we present a new method to reduce the shot noise in phase imaging of digital holograms. A spatial averaging process of phase images reconstructed at different reconstruction distances is performed, with the reconstruction distance range being specified by the numerical focus depth of the optical system. An improved phase image is attained with a 50% shot noise reduction. We use the integral of the angular spectrum as a reconstruction method to obtain a single-object complex amplitude that is need… Show more

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Cited by 22 publications
(24 citation statements)
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“…The shutter camera enables us to reduce the exposure time down to 40 μs, with a variable gain from 0 to 17 dB in 14 increments. We do not reach a camera's full well capacity with a LED source in the setup presented, even with the maximum integration time and no electrical gain of camera parameters [21]. The optical power of the intensity was measured with a photo detector.…”
Section: Numerical and Experimental Resultsmentioning
confidence: 94%
See 2 more Smart Citations
“…The shutter camera enables us to reduce the exposure time down to 40 μs, with a variable gain from 0 to 17 dB in 14 increments. We do not reach a camera's full well capacity with a LED source in the setup presented, even with the maximum integration time and no electrical gain of camera parameters [21]. The optical power of the intensity was measured with a photo detector.…”
Section: Numerical and Experimental Resultsmentioning
confidence: 94%
“…We have noncorrelation among phase images reconstructed at different distances [21]. These images were obtained of the recorded experimental holograms from Eq.…”
Section: Numerical and Experimental Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…2, the primary sources of noise in the DHM are shot noise, which is related to the intrinsic variability in photons incident on the CCD camera, and Gaussian noise, which is the combined effects from numerous intrinsic and extrinsic sources [23][24][25][26][27][28][29]. Given that the findings in this study evaluated the global uncertainty in measurements, it is not possible to reliably state which source (or sources) of noise is the primary cause of the quantified uncertainty.…”
Section: Sources Of Noisementioning
confidence: 94%
“…1e), with sub-nanometer vertical accuracy being reported [22]. However, one complication of the technique is the presence of inherent (intrinsic and extrinsic) noise [23][24][25][26][27][28][29], which has not undergone a rigorous analysis to relate it to uncertainty in the measured phase (and therefore height) data. Furthermore, recent studies have utilized reflection DHM 1 to track in situ surface topography changes of dissolving mineral phases in static and flowing water [13,14], but it is inconclusive from those studies how the presence of water (or any solution) or the use of flowing water conditions affects the noise and uncertainty in the measurement.…”
Section: Introductionmentioning
confidence: 99%