Quantitative Phase Imaging

Mir, Mustafa; Bhaduri, Basanta; Wang, Ru; Zhu, Ruoyu; Popescu, Gabriel

doi:10.1016/b978-0-44-459422-8.00003-5

Cited by 203 publications

(141 citation statements)

References 128 publications

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“…Compared to imaging techniques based on the intensity detection, phase imaging can easily obtain higher image contrast especially in imaging the semi-transparent biological samples, and since they can provide another perspective for the sample observation, phase imaging is becoming more and more important for medical examinations and disease diagnoses [1,2]. Qualitative phase imaging techniques including the phase contrast and differential interference contrast are mainly adopted to make the phase retardation of sample qualitatively visible to naked eyes.…”

Section: Introductionmentioning

confidence: 99%

Ultra-high speed digital micro-mirror device based ptychographic iterative engine method

Sun¹,

He²,

Kong³

et al. 2017

Biomed. Opt. Express

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Abstract:To reduce the long data acquisition time of the common mechanical scanning based Ptychographic Iterative Engine (PIE) technique, the digital micro-mirror device (DMD) is used to form the fast scanning illumination on the sample. Since the transverse mechanical scanning in the common PIE is replaced by the on/off switching of the micromirrors, the data acquisition time can be reduced from more than 15 minutes to less than 20 seconds for recording 12 × 10 diffraction patterns to cover the same field of 147.08 mm 2 . Furthermore, since the precision of DMD fabricated with the optical lithography is always higher than 10 nm (1 μm for the mechanical translation stage), the time consuming positionerror-correction procedure is not required in the iterative reconstruction. These two improvements fundamentally speed up both the data acquisition and the reconstruction procedures in PIE, and relax its requirements on the stability of the imaging system, therefore remarkably improve its applicability for many practices. It is demonstrated experimentally with both USAF resolution target and biological sample that, the spatial resolution of 5.52 μm and the field of view of 147.08 mm 2 can be reached with the DMD based PIE method. In a word, by using the DMD to replace the translation stage, we can effectively overcome the main shortcomings of common PIE related to the mechanical scanning, while keeping its advantages on both the high resolution and large field of view.

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Section: Introductionmentioning

confidence: 99%

Ultra-high speed digital micro-mirror device based ptychographic iterative engine method

Sun¹,

He²,

Kong³

et al. 2017

Biomed. Opt. Express

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show abstract

“…All previous techniques have been expressed eventually in the very broad concept of Quantitative Phase Imaging (QPI) after the seminal work of Popescu [20], as can be further appreciated in a later review [21] and many practical applications [22,23]. Quite interestingly, QPI is a mature multi-technique viewpoint which approaches, however, formally do not include techniques based on spectral reflectance, like the one presented here, despite the very old legacy in that respect.…”

Section: Introductionmentioning

confidence: 99%

Phase and Index of Refraction Imaging by Hyperspectral Reflectance Confocal Microscopy

Selci

2016

Molecules

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A hyperspectral reflectance confocal microscope (HSCM) was realized by CNR-ISC (Consiglio Nazionale delle Ricerche-Istituto dei Sistemi Complessi) a few years ago. The instrument and data have been already presented and discussed. The main activity of this HSCM has been within biology, and reflectance data have shown good matching between spectral signatures and the nature or evolution on many types of cells. Such a relationship has been demonstrated mainly with statistical tools like Principal Component Analysis (PCA), or similar concepts, which represent a very common approach for hyperspectral imaging. However, the point is that reflectance data contains much more useful information and, moreover, there is an obvious interest to go from reflectance, bound to the single experiment, to reflectivity, or other physical quantities, related to the sample alone. To accomplish this aim, we can follow well-established analyses and methods used in reflectance spectroscopy. Therefore, we show methods of calculations for index of refraction n, extinction coefficient k and local thicknesses of frequency starting from phase images by fast Kramers-Kronig (KK) algorithms and the Abeles matrix formalism. Details, limitations and problems of the presented calculations as well as alternative procedures are given for an example of HSCM images of red blood cells (RBC).

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“…To obtain high focusing speed and accuracy, while avoiding imaging system modifications, in this paper, we propose a wavefront-sensingbased autofocus technique relying on wavefront retrieval, propagation, and analysis. [16][17][18][19][20][21][22] In addition, the proposed autofocus method can be directly applied in commercial microscopes only with an extra illumination filter. Verified by both numerical simulations and experimental verification, the newly designed approach can precisely determine the focal plane using relatively few image collections (often <10) with a rather large effective range (over 100 μm).…”

mentioning

confidence: 99%

Wavefront-sensing-based autofocusing in microscopy

Tian

Meng

et al. 2017

J. Biomed. Opt

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Abstract. Massive image acquisition is required along the optical axis in the classical image-analysis-based autofocus method, which significantly decreases autofocus efficiency. A wavefront-sensing-based autofocus technique is proposed to increase the speed of autofocusing and obtain high localization accuracy. Intensities at different planes along the optical axis can be computed numerically after extracting the wavefront at defocus position with the help of the transport-of-intensity equation method. According to the focus criterion, the focal plane can then be determined, and after sample shifting to this plane, the in-focus image can be recorded. The proposed approach allows for fast, precise focus detection with fewer image acquisitions compared to classical image-analysis-based autofocus techniques, and it can be applied in commercial microscopes only with an extra illumination filter.

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Quantitative Phase Imaging

Cited by 203 publications

References 128 publications

Ultra-high speed digital micro-mirror device based ptychographic iterative engine method

Ultra-high speed digital micro-mirror device based ptychographic iterative engine method

Phase and Index of Refraction Imaging by Hyperspectral Reflectance Confocal Microscopy

Wavefront-sensing-based autofocusing in microscopy

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