Single exposure lensless subpixel phase imaging: optical system design, modelling, and experimental study

Kocsis, Péter; Shevkunov, Igor; Katkovnik, Vladimir; Егиазарян, Карен

doi:10.1364/oe.379785

Cited by 22 publications

(19 citation statements)

References 30 publications

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“…The technique can also be integrated into polariscopy for orientation measurements [ 48 ]. We believe that the tutorial will be useful for beginners and young scientists who would like to begin research in the area of QPI and follow the latest developments in the area [ 49 , 50 ]. Furthermore, the low-cost and easy to implement conditions will encourage academic research activities on QPI in developing countries.…”

Section: Summary Conclusion Outlookmentioning

confidence: 99%

Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm

et al. 2020

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Quantitative phase imaging (QPI) techniques are widely used for the label-free examining of transparent biological samples. QPI techniques can be broadly classified into interference-based and interferenceless methods. The interferometric methods which record the complex amplitude are usually bulky with many optical components and use coherent illumination. The interferenceless approaches which need only the intensity distribution and works using phase retrieval algorithms have gained attention as they require lesser resources, cost, space and can work with incoherent illumination. With rapid developments in computational optical techniques and deep learning, QPI has reached new levels of applications. In this tutorial, we discuss one of the basic optical configurations of a lensless QPI technique based on the phase-retrieval algorithm. Simulative studies on QPI of thin, thick, and greyscale phase objects with assistive pseudo-codes and computational codes in Octave is provided. Binary phase samples with positive and negative resist profiles were fabricated using lithography, and a single plane and two plane phase objects were constructed. Light diffracted from a point object is modulated by phase samples and the corresponding intensity patterns are recorded. The phase retrieval approach is applied for 2D and 3D phase reconstructions. Commented codes in Octave for image acquisition and automation using a web camera in an open source operating system are provided.

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Section: Summary Conclusion Outlookmentioning

confidence: 99%

Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm

et al. 2020

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“…This has been due to the advance in cutting-edge technologies such as 16S ribosomal RNA sequencing and shotgun metagenomics. Numerous pre-clinical studies now demonstrate that the diversity of the gut microbiome influences a wide range of diseases including autoimmune disorders (2-4), diabetes (5,6), obesity (7,8), cardiovascular disease (9,10), and cancer (11,12). Interestingly, a growing body of evidence suggests that reintroducing 'good' bacteria to the microbiome in the form of probiotics can dampen the severity of disease (13,14).…”

Section: Introductionmentioning

confidence: 99%

Healthy Gut, Healthy Bones: Targeting the Gut Microbiome to Promote Bone Health

et al. 2021

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Over the past decade, the use of probiotics to modify the gut microbiome has become a public spotlight in reducing the severity of a number of chronic diseases such as autoimmune disease, diabetes, cancer and cardiovascular disease. Recently, the gut microbiome has been shown to play an important role in regulating bone mass. Therefore, targeting the gut microbiome may be a potential alternative avenue for those with osteopenia or osteoporosis. In this mini-review, we take the opportunity to delve into how the different components of the gut work together and how the gut-related diseases impact on bone health.

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“…Although the Fresnel lenses are also sensitive to chromatic aberrations when used with broadband sources and distort the formed images. Another lensless approach -which we followed -is to use wavefront modulation with modulation mask [25][26][27] or diffuser 28 . They distort the illumination carrying wavefront and provide a coded pattern on the sensor with known modulation.…”

Section: Introductionmentioning

confidence: 99%

“…In our previous paper 26 design and modelling of single-exposure lensless system is proposed with wavefront modulation by random binary phase mask. The successful super-resolved reconstruction is relying on support constraint on the object plane with known diameter of the laser beam and a sparsity-based block-matching 3D (BM3D) 31 filter.…”

Section: Introductionmentioning

confidence: 99%

SSR-PR: Single-shot Super-Resolution Phase Retrieval based two prior calibration tests

Kocsis,

Shevkunov,

Katkovnik

et al. 2021

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We propose a novel approach and algorithm based on two preliminary tests of the optical system elements to enhance the super-resolved complex-valued imaging. The approach is developed for inverse phase imaging in a single-shot lensless optical setup. Imaging is based on wavefront modulation by a single binary phase mask. The preliminary tests compensate errors in the optical system and correct a carrying wavefront, reducing the gap between real-life experiments and computational modeling, which improve imaging significantly both qualitatively and quantitatively. These two tests are performed for observation of the laser beam and phase mask along, and might be considered as a preliminary system calibration. The corrected carrying wavefront is embedded into the proposed iterative Single-shot Super-Resolution Phase Retrieval (SSR-PR) algorithm. Improved initial diffraction pattern upsampling, and a combination of sparse and deep learning based filters achieves the super-resolved reconstructions. Simulations and physical experiments demonstrate the high-quality super-resolution phase imaging. In the simulations, we showed that the SSR-PR algorithm corrects the errors of the proposed optical system and reconstructs phase details 4× smaller than the sensor pixel size. In physical experiment 2 µm thick lines of USAF phase-target were resolved, which is almost 2× smaller than the sensor pixel size and corresponds to the smallest resolvable group of used test target. For phase bio-imaging, we provide Buccal Epithelial Cells reconstructed in computational super-resolution and the quality was of the same level as a digital holographic system with 40× magnification objective. Furthermore, the single-shot advantage provides the possibility to record dynamic scenes, where the framerate is limited only by the used camera. We provide an amplitude-phase video clip of a moving alive single-celled eukaryote.

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Single exposure lensless subpixel phase imaging: optical system design, modelling, and experimental study

Cited by 22 publications

References 30 publications

Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm

Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm

Healthy Gut, Healthy Bones: Targeting the Gut Microbiome to Promote Bone Health

SSR-PR: Single-shot Super-Resolution Phase Retrieval based two prior calibration tests

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