Variational Phase Imaging Using the Transport-of-Intensity Equation

Bostan, Emrah; Froustey, Emmanuel; Nilchian, Masih; Sage, Daniel; Unser, Michaël

doi:10.1109/tip.2015.2509249

Cited by 30 publications

(24 citation statements)

References 39 publications

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“…This seminal work launched a new field known as quantitative phase imaging (QPI), which aims at determining the optical phase delay induced by the refractive index distribution. The phase differences can be assessed with various techniques 19 such as measurement of the interference of the scattered field with a reference field (off-axis holography, HPM) [20][21][22][23] , controlled phase-shift of the reference field (FPM, SLIM) 24,25 or by measuring defocused image planes (TIE) [26][27][28][29] .…”

Section: Introductionmentioning

confidence: 99%

Combined multi-plane phase retrieval and super-resolution optical fluctuation imaging for 4D cell microscopy

Descloux¹,

Grußmayer²,

Bostan³

et al. 2018

Nature Photon

114

122

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Super-resolution fluorescence microscopy provides unprecedented insight into cellular and subcellular structures. However, going `beyond the diffraction barrier' comes at a price since most far-field superresolution imaging techniques trade temporal for spatial super-resolution. We propose the combination of a novel label-free white light quantitative phase tomography with fluorescence imaging to provide high-speed imaging and spatial super-resolution. The non-iterative phase reconstruction relies on the acquisition of single images at each z-location and thus enables straightforward 3D phase imaging using a classical microscope. We realized multi-plane imaging using a customized prism for the simultaneous acquisition of 8 planes. This allowed us to not only image live cells in 3D at up to 200 Hz, but also to integrate fluorescence super-resolution optical fluctuation imaging within the same optical instrument.This 4D microscope platform unifies the sensitivity and high temporal resolution of phase tomography with the specificity and high spatial resolution of fluorescence imaging.

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Section: Introductionmentioning

confidence: 99%

Combined multi-plane phase retrieval and super-resolution optical fluctuation imaging for 4D cell microscopy

Descloux¹,

Grußmayer²,

Bostan³

et al. 2018

Nature Photon

114

122

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“…This effect is also present in transport of intensity experiments that share similar experimental conditions (i.e. sample-camera distance < 900μm) [29,30] and other quantitative phase imaging techniques [31,32]. However, lensless phase imagers are mainly used to image biological samples like cells [4][5][6][7][8][9][10] which sizes are typically less than 20μm for which the phase can be correctly computed.…”

Section: Phase Recoverymentioning

confidence: 99%

Compact lensless phase imager

Rostykus¹,

Soulez²,

Unser³

et al. 2017

Opt. Express

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Lensless quantitative phase imaging is of high interest for obtaining a large field of view (FOV), typically the size of the camera chip, to observe biological cell material with high contrast. It has the potential to be widely spread due to its inherent simplicity. However, the tradeoff is the added complexity due to the illumination. Current illumination systems are several centimeters away from the sample, use mechanics to obtain super resolution (i.e., smaller than the detector pixel size) or different illumination directions, and block the view to the sample. In this paper, we propose and demonstrate a side illumination system which reduces the height by an order of magnitude while providing an unobstructed view of the sample. We achieve this by shaping the illumination using multiplexed analog holograms that produce 9 illumination angles. We demonstrate experimentally imaging of phase samples with a FOV of ~17mm 2 .

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“…The absence of low spatial frequencies is not uncommon to phase reconstructions obtained from throughfocus image stacks. Methods based on solving the TIE [34][35][36][37] need to invert the Laplacian in the lateral coordinates. The Laplacian has a transfer function that depends quadratically on the (lateral) spatial frequency components, i.e., it has (near) zero transfer at low spatial frequencies.…”

Section: Quantitative Phase Tomography Of Unstained Tissue Layers a mentioning

confidence: 99%

“…Quantitative phase imaging forms a non-invasive and labelfree imaging platform in cell biology and pathology [33]. Algorithms are available for phase retrieval from a through-focus image stack to obtain a 2D phase contrast image of a thin layer, usually based on solving the transport of intensity equation (TIE) [34][35][36][37], as well as for a full 3D tomographic reconstruction of a thicker specimen [38][39][40]. Application of such computational phase contrast modalities based on multi-focal image stacks can broaden the application of WSI systems to unstained samples.…”

Section: Introductionmentioning

confidence: 99%

Computational imaging modalities for multi-focal whole-slide imaging systems

et al. 2020

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Whole-slide imaging systems can generate full-color image data of tissue slides efficiently, which are needed for digital pathology applications. This paper focuses on a scanner architecture that is based on a multi-line image sensor that is tilted with respect to the optical axis, such that every line of the sensor scans the tissue slide at a different focus level. This scanner platform is designed for imaging with continuous autofocus and inherent color registration at a throughput of the order of 400 MPx/s. Here, single-scan multi-focal whole-slide imaging, enabled by this platform, is explored. In particular, two computational imaging modalities based on multi-focal image data are studied. First, 3D imaging of thick absorption stained slides (∼60 µm) is demonstrated in combination with deconvolution to ameliorate the inherently weak contrast in thick-tissue imaging. Second, quantitative phase tomography is demonstrated on unstained tissue slides and on fluorescently stained slides, revealing morphological features complementary to features made visible with conventional absorption or fluorescence stains. For both computational approaches simplified algorithms are proposed, targeted for straightforward parallel processing implementation at ∼GPx/s throughputs.

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Variational Phase Imaging Using the Transport-of-Intensity Equation

Cited by 30 publications

References 39 publications

Combined multi-plane phase retrieval and super-resolution optical fluctuation imaging for 4D cell microscopy

Combined multi-plane phase retrieval and super-resolution optical fluctuation imaging for 4D cell microscopy

Compact lensless phase imager

Computational imaging modalities for multi-focal whole-slide imaging systems

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