Robust autofocusing method for multi-wavelength lensless imaging

Liu, Jian; Zhao, Yixuan; Guo, Cheng; Wei, Zhao; Zhang, Yutian; Guo, Changliang; Li, Haoyu

doi:10.1364/oe.27.023814

Cited by 12 publications

(5 citation statements)

References 51 publications

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“…Similar approaches based on wavelength multiplexing have been proposed in the field of lensless imaging [34][35][36][37][38][39][40][41][42][43][44][45] . Noom et al presented a quantitative phase contrast lensless holographic microscope first under sequential illumination/recording 34 and later with high-speed capabilities 35 .…”

Section: Abbreviationsmentioning

confidence: 96%

“…Kazemzadeh et al proposed the use of pulsed illumination to even expand up to 5 channels and developed a multispectral lens-free microscope for biological specimens 40 . Liu et al 41 and Guo et al 42 reported on the use of a rotating filter wheel as key concept to provide multiple wavelength illuminations onto the sample in the field of lensless imaging for improving autofocusing 41 and for noise reduction 42 . Luo et al proposed a wavelength scanning method for pixel superresolution 43 .…”

Section: Abbreviationsmentioning

confidence: 99%

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Single-shot wavelength-multiplexed phase microscopy under Gabor regime in a regular microscope embodiment

Micó

Rogalski

Picazo-Bueno

et al. 2023

Sci Rep

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Phase imaging microscopy under Gabor regime has been recently reported as an extremely simple, low cost and compact way to update a standard bright-field microscope with coherent sensing capabilities. By inserting coherent illumination in the microscope embodiment and producing a small defocus distance of the sample at the input plane, the digital sensor records an in-line Gabor hologram of the target sample, which is then numerically post-processed to finally achieve the sample’s quantitative phase information. However, the retrieved phase distribution is affected by the two well-known drawbacks when dealing with Gabor’s regime, that is, coherent noise and twin image disturbances. Here, we present a single-shot technique based on wavelength multiplexing for mitigating these two effects. A multi-illumination laser source (including 3 diode lasers) illuminates the sample and a color digital sensor (conventional RGB color camera) is used to record the wavelength-multiplexed Gabor hologram in a single exposure. The technique is completed by presenting a novel algorithm based on a modified Gerchberg–Saxton kernel to finally retrieve an enhanced quantitative phase image of the sample, enhanced in terms of coherent noise removal and twin image minimization. Experimental validations are performed in a regular Olympus BX-60 upright microscope using a 20X 0.46NA objective lens and considering static (resolution test targets) and dynamic (living spermatozoa) phase samples.

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Section: Abbreviationsmentioning

confidence: 96%

Section: Abbreviationsmentioning

confidence: 99%

Single-shot wavelength-multiplexed phase microscopy under Gabor regime in a regular microscope embodiment

Micó

Rogalski

Picazo-Bueno

et al. 2023

Sci Rep

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“…There are many autofocus algorithms for numerical refocusing including those that use amplitude, sparsity, , a correlation coefficient, and other properties to determine optimal focus in DHM. One example of a DHM numerical refocusing metric that achieves the desired properties of a focal position algorithm is the DarkFocus (DF) metric, which optimizes for the sharpness of images as where var is the variance operator and U ( z ) is the complex optical field calculated for a focal distance, z .…”

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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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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“…By assessing sharpness metrics for images reconstructed at different distances, the object distance is got from the maximum of image sharpness. Numerous sharpness quantification functions have been extensively utilized, as shown in the former work [18]. For these sharpness quantification functions, the position of the peak value points to the focusing distance.…”

Section: Sharpness Metricsmentioning

confidence: 99%

Autofocusing of Fresnel zone aperture lensless imaging based on image sharpness metrics

Fangyu,

Wu,

Cao

2023

Holography, Diffractive Optics, and Applications XIII

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Robust autofocusing method for multi-wavelength lensless imaging

Cited by 12 publications

References 51 publications

Single-shot wavelength-multiplexed phase microscopy under Gabor regime in a regular microscope embodiment

Single-shot wavelength-multiplexed phase microscopy under Gabor regime in a regular microscope embodiment

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

Autofocusing of Fresnel zone aperture lensless imaging based on image sharpness metrics

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