Scattering-phase theorem

Wang, Zhuo; Ding, Huafeng; Popescu, Gabriel

doi:10.1364/ol.36.001215

Cited by 65 publications

(66 citation statements)

References 8 publications

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“…Figure 4(b) illustrates the map of the scattering mean free path, calculated from the variance as l s = L/ φ(r) 2 , as described in Ref. 36. The spatially resolved scattering map shows very good correlation with cancerous and benign areas.…”

Section: Refractive Index As Marker For Prostate Cancermentioning

confidence: 89%

“…[30][31][32] It has been shown that the knowledge of the amplitude and phase associated with an optical field transmitted through tissues captures the entire information regarding light-tissue interaction, including scattering properties. [33][34][35][36] Yet, the potential of QPI for label-free pathology has not been explored. Here we employ spatial light interference microscopy (SLIM), [37][38][39] a new white light QPI method developed in our laboratory, to image the entire unstained prostate and breast biopsies and perform a side-by-side comparison with stained pathological slides.…”

Section: Introductionmentioning

confidence: 99%

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Tissue refractive index as marker of disease

et al. 2011

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Abstract. The gold standard in histopathology relies on manual investigation of stained tissue biopsies. A sensitive and quantitative method for in situ tissue specimen inspection is highly desirable, as it would allow early disease diagnosis and automatic screening. Here we demonstrate that quantitative phase imaging of entire unstained biopsies has the potential to fulfill this requirement. Our data indicates that the refractive index distribution of histopathology slides, which contains information about the molecular scale organization of tissue, reveals prostate tumors and breast calcifications. These optical maps report on subtle, nanoscale morphological properties of tissues and cells that cannot be recovered by common stains, including hematoxylin and eosin. We found that cancer progression significantly alters the tissue organization, as exhibited by consistently higher refractive index variance in prostate tumors versus normal regions. Furthermore, using the quantitative phase information, we obtained the spatially resolved scattering mean free path and anisotropy factor g for entire biopsies and demonstrated their direct correlation with tumor presence. In essence, our results show that the tissue refractive index reports on the nanoscale tissue architecture and, in principle, can be used as an intrinsic marker for cancer diagnosis. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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Section: Refractive Index As Marker For Prostate Cancermentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Tissue refractive index as marker of disease

et al. 2011

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“…The underlying principle of the microscope is quantitative phase imaging [19], in which we retrieve the optical pathlength map associated with the blood film. Because the optical pathlength (or phase) contains information about both the sample refractive index and thickness, QPI has been used to provide measurements of red blood cell volumes [20], cell dry mass [21,22,23,24,25], dynamics [26,27,28,29,30,31], cell tomography [32,33,34,35], tissue scattering [36,37,38]. QPI has attracted increasing scientific interest in the past decade especially because it can study structure and dynamics quantitatively, with nanoscale sensitivity, and without the need for labeling with contrast agents.…”

Section: Quantitative Phase Imaging Using White Light Diffraction Phamentioning

confidence: 99%

Real time blood testing using quantitative phase imaging

Pham

Bhaduri

Tangella

et al. 2013

Digital Holography and Three-Dimensional Imaging

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We demonstrate a real-time blood testing system that can provide remote diagnosis with minimal human intervention in economically challenged areas. Our instrument combines novel advances in label-free optical imaging with parallel computing. Specifically, we use quantitative phase imaging for extracting red blood cell morphology with nanoscale sensitivity and NVIDIA's CUDA programming language to perform real time cellular-level analysis. While the blood smear is translated through focus, our system is able to segment and analyze all the cells in the one megapixel field of view, at a rate of 40 frames/s. The variety of diagnostic parameters measured from each cell (e.g., surface area, sphericity, and minimum cylindrical diameter) are currently not available with current state of the art clinical instruments. In addition, we show that our instrument correctly recovers the red blood cell volume distribution, as evidenced by the excellent agreement with the cell counter results obtained on normal patients and those with microcytic and macrocytic anemia. The final data outputted by our instrument represent arrays of numbers associated with these morphological parameters and not images. Thus, the memory necessary to store these data is of the order of kilobytes, which allows for their remote transmission via, for example, the cellular network. We envision that such a system will dramatically increase access for blood testing and furthermore, may pave the way to digital hematology.

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“…From the MS-DPM data, the scattering coefficient (µ s ) (Fig. 2) was calculated using the scattering-phase theorem as [19].…”

Section: Resultsmentioning

confidence: 99%

“…Considering the entire range of angles captured by the objective lens, 0-56°, anisotropy becomes smaller at longer wavelength for all the regions. Following this intuitive observation, the anisotropy factor can be quantified using scattering-phase theorem as [19] ( ) ( ) . The anisotropy factor is higher than 0.9 in the olfactory bulb for 900 nm, but lower than 0.8 in corpus callosum.…”

Section: Resultsmentioning

confidence: 99%

Measurement of multispectral scattering properties in mouse brain tissue

Min

Ban

Wang

et al. 2017

Biomed. Opt. Express

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Abstract:We present the scattering properties of mouse brain using multispectral diffraction phase microscopy. Typical diffraction phase microscopy was incorporated with the broadband light source which offers the measurement of the scattering coefficient and anisotropy in the spectral range of 550-900 nm. The regional analysis was performed for both the myeloarchitecture and cytoarchitecture of the brain tissue. Our results clearly evaluate the multispectral scattering properties in the olfactory bulb and corpus callosum. The scattering coefficient measured in the corpus callosum is about four times higher than in the olfactory bulb. It also indicates that it is feasible to realize the quantitative phase microscope in near infrared region for thick brain tissue imaging.

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Scattering-phase theorem

Cited by 65 publications

References 8 publications

Tissue refractive index as marker of disease

Tissue refractive index as marker of disease

Real time blood testing using quantitative phase imaging

Measurement of multispectral scattering properties in mouse brain tissue

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