Highly temporal stable, wavelength-independent, and scalable field-of-view common-path quantitative phase microscope

Ahmad, Azeem; Dubey, Vishesh; Butola, Ankit; Ahluwalia, Balpreet Singh; Mehta, Dalip Singh

doi:10.1117/1.jbo.25.11.116501

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…However, as a biological sample, this can be more challenging to work with than an inanimate calibration standard. A number of studies have used USAF resolution test targets that are readily available because of their wide use in calibrating imaging systems. , However, these standards are typically used for calibrating intensity images and are made of thin metal films, meaning that they do not function as pure phase objects. A phase specific calibration standard for QPI was developed and used in a comparison with atomic force microscopy (AFM), which showed that QPI has nanometer sensitivity over a wide range of spatial frequencies .…”

Section: Solving the Fundamental Problem Of Quantitative Phasementioning

confidence: 99%

“…Polystyrene beads are a widely used phase calibration standard for many QPI methods , and have been used with DHM, QWLSI, and DPC techniques. However, there is variability in the refractive index of polystyrene, and typically large refractive index differences between polystyrene beads relative to cell culture media, combined with sharp “imaging edges” of these round beads, can lead to phase unwrapping artifacts that are not usually encountered with live cell samples.…”

Section: Solving the Fundamental Problem Of Quantitative Phasementioning

confidence: 99%

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Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

et al. 2022

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Quantitative phase imaging (QPI) is a label-free, wide-field microscopy approach with significant opportunities for biomedical applications. QPI uses the natural phase shift of light as it passes through a transparent object, such as a mammalian cell, to quantify biomass distribution and spatial and temporal changes in biomass. Reported in cell studies more than 60 years ago, ongoing advances in QPI hardware and software are leading to numerous applications in biology, with a dramatic expansion in utility over the past two decades. Today, investigations of cell size, morphology, behavior, cellular viscoelasticity, drug efficacy, biomass accumulation and turnover, and transport mechanics are supporting studies of development, physiology, neural activity, cancer, and additional physiological processes and diseases. Here, we review the field of QPI in biology starting with underlying principles, followed by a discussion of technical approaches currently available or being developed, and end with an examination of the breadth of applications in use or under development. We comment on strengths and shortcomings for the deployment of QPI in key biomedical contexts and conclude with emerging challenges and opportunities based on combining QPI with other methodologies that expand the scope and utility of QPI even further.

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Section: Solving the Fundamental Problem Of Quantitative Phasementioning

confidence: 99%

Section: Solving the Fundamental Problem Of Quantitative Phasementioning

confidence: 99%

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

et al. 2022

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“…A conventional solution includes improving mechanical stability [3] or installing a real-time feedback system, such as focus lock [1]. One prevalent method is to make an infrared beam reflected off a cover-slip and calculate the shifts in the position of this beam to maintain constant objective-slide separation by closed-loop control.…”

Section: Introductionmentioning

confidence: 99%

Defocus Deblur Microscopy via Head-to-Tail Cross-Scale Fusion

Wang

Han

2022

2022 IEEE International Conference on Image Processing (ICIP)

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Microscopy imaging is vital in biology research and diagnosis. When imaging at the scale of cell or molecule level, mechanical drift on the axial axis can be difficult to correct. Although multi-scale networks have been developed for deblurring, those cascade residual learning approaches fail to accurately capture the end-to-end non-linearity of deconvolution, a relation between in-focus images and their out-of-focus counterparts in microscopy. In our model, we adopt a structure of multi-scale U-Net without cascade residual leaning. Additionally, in contrast to the conventional coarse-to-fine model, our model strengthens the cross-scale interaction by fusing the features from the coarser sub-networks with the finer ones in a head-to-tail manner: the decoder from the coarser scale is fused with the encoder of the finer ones. Such interaction contributes to better feature learning as fusion happens across decoder and encoder at all scales. Numerous experiments demonstrate that our method yields better performance when compared with other existing models.

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Demystifying speckle field interference microscopy

Ahmad

Jayakumar

Ahluwalia

2022

Sci Rep

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Dynamic speckle illumination (DSI) has recently attracted strong attention in the field of biomedical imaging as it pushes the limits of interference microscopy (IM) in terms of phase sensitivity, and spatial and temporal resolution compared to conventional light source illumination. To date, despite conspicuous advantages, it has not been extensively implemented in the field of phase imaging due to inadequate understanding of interference fringe formation, which is challenging to obtain in dynamic speckle illumination interference microscopy (DSI-IM). The present article provides the basic understanding of DSI through both simulation and experiments that is essential to build interference microscopy systems such as quantitative phase microscopy, digital holographic microscopy and optical coherence tomography. Using the developed understanding of DSI, we demonstrated its capabilities which enables the use of non-identical objective lenses in both arms of the interferometer and opens the flexibility to use user-defined microscope objective lens for scalable field of view and resolution phase imaging. It is contrary to the present understanding which forces us to use identical objective lenses in conventional IM system and limits the applicability of the system for fixed objective lens. In addition, it is also demonstrated that the interference fringes are not washed out over a large range of optical path difference (OPD) between the object and the reference arm providing competitive edge over low temporal coherence light source based IM system. The theory and explanation developed here would enable wider penetration of DSI-IM for applications in biology and material sciences.

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Highly temporal stable, wavelength-independent, and scalable field-of-view common-path quantitative phase microscope

Cited by 5 publications

References 26 publications

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

Defocus Deblur Microscopy via Head-to-Tail Cross-Scale Fusion

Demystifying speckle field interference microscopy

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