2021
DOI: 10.1364/ol.436334
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Depth resolution in multifocus laser speckle contrast imaging

Abstract: Laser speckle contrast imaging (LSCI) can be used to evaluate blood flow based on spatial or temporal speckle statistics, but its accuracy is undermined by out-of-focus image blur. In this Letter, we show how the fraction of dynamic versus static light scattering is dependent on focus, and describe a deconvolution strategy to correct for out-of-focus blur. With the aid of a z-splitter, which enables instantaneous multifocus imaging, we demonstrate depth-resolved LSCI that can robustly extract multi-plane struc… Show more

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Cited by 9 publications
(2 citation statements)
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“…Factors that are critical to consider are: (i) penetration depth of LSCI when applied to renal imaging, (ii) type of the vessels in the field of view, and (iii) topology of the nephro-vascular network. While in theory, LSCI can collect the blood flow signal from as deep as 300–400 μm, in practice, visually resolvable signal typically comes from top 50 to 150 μm of the vascular structure ( Davis et al, 2014 ; Zheng et al, 2021 ). Considering high vascular density close to the renal surface, it would mean that LSCI is likely limited to imaging vessels originating from ≈10000 nephrons in outer 30% of rat renal cortex ( Letts et al, 2017 ), which would result in ≈40 nephrons in the 1.5 × 1.5 µm field of view.…”
Section: Discussionmentioning
confidence: 99%
“…Factors that are critical to consider are: (i) penetration depth of LSCI when applied to renal imaging, (ii) type of the vessels in the field of view, and (iii) topology of the nephro-vascular network. While in theory, LSCI can collect the blood flow signal from as deep as 300–400 μm, in practice, visually resolvable signal typically comes from top 50 to 150 μm of the vascular structure ( Davis et al, 2014 ; Zheng et al, 2021 ). Considering high vascular density close to the renal surface, it would mean that LSCI is likely limited to imaging vessels originating from ≈10000 nephrons in outer 30% of rat renal cortex ( Letts et al, 2017 ), which would result in ≈40 nephrons in the 1.5 × 1.5 µm field of view.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, the depth resolution of LSF is limited, making it unsuitable for layer-specific flow measurement. 16,17 In this study, OCTA compensated for technical limitations of other imaging modalities through its high repeatability and reproducibility, exceptionally high spatial resolution, which enabled the assessment of both large vessels and capillaries, being less operator dependent, segmentable 3-dimensional volumetric tissue sampling that allowed isolation of different vascular plexuses and the availability of signal-processing algorithms that can provide velocimetric flow data like SSADA. 10,11 In this study, OCTA-derived biomarkers of ONH and peripapillary area included VD, GFIs, and RFIs.…”
Section: Discussionmentioning
confidence: 99%