Extended depth-of-field and 3D information extraction in digital holographic microscopy

Bergoënd, Isabelle; Colomb, Tristan; Pavillon, Nicolas; Emery, Yves; Depeursinge, Christian

doi:10.1364/dh.2009.dwb5

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Magnitude of the image gradient at a pixel location, which performs well on execution time criteria [26], is used as the measure of focus. The gradient operator used for gradient computation is empirically selected from six different operators.…”

Section: Lsi System Magnificationmentioning

confidence: 99%

Volume visualization approach for depth-of-field extension in digital pathology

Garud

Ray

Mandal

et al. 2011

2011 4th International Congress on Image and Signal Processing

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Microscope optics presents two critical limitations of low depth of field and very low or no depth perception. Due to low depth of field, at high magnification levels microscope cannot adequately focus on the object. This can adversely affect the performance of slide digitization procedure in digital pathology. This paper presents a depth of field extension and 3D visualization technique for pathological applications. The technique uses a sequence of low depth of field images of object for generation of high resolution extended depth of field view of the scene by volume visualization technique such as ray casting. This work is directed towards incorporating the method in digital pathology work-flow. Sensing and computational tasks (image sequence acquisition, focus measure computation and volume creation, and volume rendering) involved in the method can be executed by different processing units available in modern computational platforms to achieve high degree of parallelism in implementation and accomplish real time image generation and visualization.

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Section: Lsi System Magnificationmentioning

confidence: 99%

Volume visualization approach for depth-of-field extension in digital pathology

Garud

Ray

Mandal

et al. 2011

2011 4th International Congress on Image and Signal Processing

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“…Statistical focus measures have been applied in the analysis of spatially varying optical reconstructions. In digital holography, axial plots of reconstructed amplitude maps and phase maps have been processed for three-dimensional object localization [20][21][22], depth-of-field extension [23] and, recently, for the determination of the plane of fringe localization [24]. We believe there has been no reporting on the application of statistical focus measures in the analysis of time-varying optical interference patterns, specifically for vibration detection.…”

Section: Introductionmentioning

confidence: 99%

Vibration detection using focus analysis of interferograms

Filipinas

Almoro

2012

Appl. Opt.

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This paper proposed an automated technique for vibration detection using statistical focus measure to evaluate interferogram contrast. An interferogram sequence from a Mach-Zehnder interferometer setup is recorded (frame rate: 24 fps) and the gray-level variance (GLVA) is plotted versus time. Occurrence of induced vibration in the setup causes a decrease in the interferogram contrast which, in turn, manifests as an evident rapid drop in the variance plot. The technique is demonstrated experimentally using periodic microvibrations (frequency range, ≤6 Hz) and aperiodic disturbances.

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