2022
DOI: 10.1364/oe.465309
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Accurate 3D morphological computational model reconstruction of suspended cells imaged through stratified media by the precise depth-varying point spread function method

Abstract: Accurate three-dimensional (3D) morphological computational models of cells are important in a number of biological studies. This study proposes a precise depth-varying point spread function (PDV-PSF) method for reconstructing 3D computational models of suspended cells from two-dimensional (2D) confocal image stacks. Our approach deblurs the 2D images in horizontal plane and corrects the deformation in vertical direction to overcome the refractive index mismatch problem caused by suspended cells imaging throug… Show more

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Cited by 2 publications
(2 citation statements)
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“…Different from traditional modeling methods which applied spheres and ellipsoids to represent the internal and external cellular structures, in this study clinical lymphocyte morphologies in suspension were detected layer by layer firstly by fluorescence confocal microscope (FCM). Their 3D morphologies of membranes and nuclei were reconstructed by our methods published before [32,33]. The membrane and nucleus morphologies of clinical lymphocytes then were obtained as the basic morphology models.…”
Section: Morphology Modelingmentioning
confidence: 99%
“…Different from traditional modeling methods which applied spheres and ellipsoids to represent the internal and external cellular structures, in this study clinical lymphocyte morphologies in suspension were detected layer by layer firstly by fluorescence confocal microscope (FCM). Their 3D morphologies of membranes and nuclei were reconstructed by our methods published before [32,33]. The membrane and nucleus morphologies of clinical lymphocytes then were obtained as the basic morphology models.…”
Section: Morphology Modelingmentioning
confidence: 99%
“…It mitigates non-focal plane stray light by placing two conjugated pinholes in the illumination and detection light paths. Subsequently, it records fluorescence images from different layers through mechanical scanning in the depth direction to acquire comprehensive 3D structural information [ 1 , 2 ]. To minimize exposure to high-intensity lasers in LSCM, light-sheet microscopy employs a thin light sheet to illuminate the sample from the side.…”
Section: Introductionmentioning
confidence: 99%