Prediction of Prostate Cancer Recurrence Using Quantitative Phase Imaging

Sridharan, Shamira; Macias, Virgilia; Tangella, Krishnarao; Kajdacsy-Balla, André; Popescu, Gabriel

doi:10.1038/srep09976

Cited by 88 publications

(75 citation statements)

References 34 publications

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“…1a, this unit is a re-purposed spatial light interference microscopy (SLIM) module11 (CellVista SLIM Pro, Phi Optics, Inc.), designed for quantitative phase imaging5. Recently, SLIM has found numerous applications in biomedicine, from cell growth1213, tissue scattering1415, cancer diagnosis and prognosis161718 and others192021. In SLIM, the total field, U t , emanating from the sample is magnified and replicated in both amplitude and phase at the output port of the microscope.…”

Section: Resultsmentioning

confidence: 99%

Halo-free Phase Contrast Microscopy

Nguyen

Kandel

Shakir

et al. 2017

Sci Rep

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We present a new approach for retrieving halo-free phase contrast microscopy (hfPC) images by upgrading the conventional PC microscope with an external interferometric module, which generates sufficient data for reversing the halo artifact. Acquiring four independent intensity images, our approach first measures haloed phase maps of the sample. We solve for the halo-free sample transmission function by using a physical model of the image formation under partial spatial coherence. Using this halo-free sample transmission, we can numerically generate artifact-free PC images. Furthermore, this transmission can be further used to obtain quantitative information about the sample, e.g., the thickness with known refractive indices, dry mass of live cells during their cycles. We tested our hfPC method on various control samples, e.g., beads, pillars and validated its potential for biological investigation by imaging live HeLa cells, red blood cells, and neurons.

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Section: Resultsmentioning

confidence: 99%

Halo-free Phase Contrast Microscopy

Nguyen

Kandel

Shakir

et al. 2017

Sci Rep

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“…Over the past decade, various urine, blood, and tissue biomarkers have been proposed to replace PSA [4][5][6][7]. Among them, volatile organic compounds (VOCs) have been recognized as a valid alternative diagnostic tool [8].…”

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confidence: 99%

Highly-trained dogs’ olfactory system for detecting biochemical recurrence following radical prostatectomy

Taverna

Tidu

Grizzi

et al. 2016

Clinical Chemistry and Laboratory Medicine (CCLM)

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“…These phase changes encode the information about the refractive index and thickness of the specimen and as a result, QPI-DHM can be used to analyze illnesses in which the refractive index and/or morphology of cells or tissues are distorted. [1][2][3][4] The application of QPI-DHM to medical diagnosis relies on the high accuracy of the phase map measurements. The optical capture and subsequent computational processing both have a significant role in this hybrid technique.…”

Section: A Digital Holographic Microscope Operating In Telecentric Momentioning

confidence: 99%

Digital holographic microscopy for diabetes screening

Doblas¹,

Martı́nez-Corral²,

Saavedra³

2016

SPIE Newsroom

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A digital holographic microscope operating in telecentric mode could be used to diagnose diabetes and evaluate long-term glycemic control in patients with diabetes.Transparent objects, such as live biological cells, are difficult to observe and quantify using traditional light microscopes owing to lack of contrast. However, recent advances in quantitative phase imaging (QPI) of transparent microscopic specimens using digital holographic microscopy (DHM) have facilitated observation of unstained living cells in ways that were previously impossible. This type of microscopy relies on the different optical densities of the specimen and surrounding medium, producing a difference in phase between the light passing through the specimen and the light passing through the medium, ultimately generating an interference pattern. In DHM, only a single recorded image is required to obtain the fringe pattern resulting from the interference between a reference wave and the image of the wavefront diffracted by the specimen. From the pattern, phase changes introduced by the specimen are easily retrieved to produce a quantitative phase map. These phase changes encode the information about the refractive index and thickness of the specimen and as a result, QPI-DHM can be used to analyze illnesses in which the refractive index and/or morphology of cells or tissues are distorted. [1][2][3][4] The application of QPI-DHM to medical diagnosis relies on the high accuracy of the phase map measurements. The optical capture and subsequent computational processing both have a significant role in this hybrid technique. However, our research group has recently demonstrated that the optical capture stage controls the accuracy of QPI-DHM. 5-7 Specifically, we showed that QPI-DHM operating in telecentric mode-producing a 2D image of a 3D object-provides very accurate diffraction-limited quantitative phase images with minimal post-processing. This accuracy can be very useful for the diagnosis of different diseases and for specimen identification. Here, we show how this type of microscopy can be used in the diagnosis of diabetes mellitus (DM), using a simple procedure that requires a small amount of blood.Telecentric DHM has a potential application as a technique for the screening of DM, 8 which is undoubtedly one of the most challenging health problems of this century. Assessment and control of hyperglycemic states is one of the main methods of minimizing the risk of developing the medical complications associated with DM. Currently, the gold standard method to evaluate hyperglycemia in patients with DM and obtain long-term glycemic control is the determination of glycated hemoglobin (HbA1c) concentration. This measurement is usually made by high-performance liquid chromatography (HPLC), Continued on next page

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Prediction of Prostate Cancer Recurrence Using Quantitative Phase Imaging

Cited by 88 publications

References 34 publications

Halo-free Phase Contrast Microscopy

Halo-free Phase Contrast Microscopy

Highly-trained dogs’ olfactory system for detecting biochemical recurrence following radical prostatectomy

Digital holographic microscopy for diabetes screening

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