98 results match your criteria: "Institute of Micromechanics and Photonics[Affiliation]"

Single-shot quantitative phase microscopy: a multi-functional tool for cell analysis.

Biomed Opt Express

October 2024

The University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, North Carolina 28223, USA.

This study showcases the multifunctionality of a single-shot quantitative phase microscopy (QPM) system for comprehensive cell analysis. The system captures four high-contrast images in one shot, enabling tasks like cell segmentation, measuring cell confluence, and estimating cell mass. We demonstrate the usability of the QPM system in routine biological workflows, showing how its integration with computational algorithms enables automated, precise analysis, achieving accuracy scores between 85% and 97% across samples with varying cell densities, even those with low signal-to-noise ratios.

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Article Synopsis
  • Large field-of-view (FOV) microscopic imaging is crucial in biomedicine, particularly in label-free techniques like lensless digital holographic microscopy (LDHM), which offers high resolution but faces challenges in accurate quantitative phase imaging (QPI).
  • The research uses two-photon polymerization (TPP) to create widefield phase test targets, enabling the assessment of LDHM's imaging errors across the entire large FOV under various conditions.
  • Results showed that there are minimal phase value differences (under 12%) near the detector's edges, highlighting the need for new design approaches in photonic manufacturing to improve large-area lensless imaging accuracy.
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Unlabelled: Computational methods have been established as cornerstones in optical imaging and holography in recent years. Every year, the dependence of optical imaging and holography on computational methods is increasing significantly to the extent that optical methods and components are being completely and efficiently replaced with computational methods at low cost. This roadmap reviews the current scenario in four major areas namely incoherent digital holography, quantitative phase imaging, imaging through scattering layers, and super-resolution imaging.

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Thanks to medical advances, life expectancy is increasing. With it comes an increased incidence of diseases, of which age is a risk factor. Stroke is among these diseases, and is one of the causes of long-term disability.

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Current low coherence quantitative phase microscopy (LC-QPM) systems suffer from either reduced field of view (FoV) or reduced temporal resolution due to the short temporal coherence (TC) length of the light source. Here, we propose a hybrid, experimental and numerical approach to address this core problem associated with LC-QPM. We demonstrate high spatial resolution and high phase sensitivity in LC-QPM at high temporal resolution.

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Introduction: Ankylosing spondylitis (AS) is a chronic inflammatory, progressive disease, which leads to deterioration of chest and spine mobility and decrease of physical capacity with abnormal chest movement patterns. We aimed to assess the usefulness of the 4DBODY technology for evaluation of the effectiveness of AS treatment.

Material And Methods: The 4DBODY technology was assessed on single AS patient with axial involvement.

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Force prediction in the cylindrical grip for a model of hand prosthesis.

Sci Rep

October 2023

Institute of Aeronautics and Applied Mechanics, Warsaw University of Technology, Nowowiejska 24, 00-665, Warsaw, Poland.

The aim of this paper is to present an analytical method of calculating forces acting on the thumb, index, middle finger, and metacarpal part of a hand prosthesis in a cylindrical grip. This prehension pattern represents a common operation of grabbing and manipulating everyday life objects. The design process assumed that such a prosthesis would have 5 fully operating fingers and 18 total degrees of freedom: three for each finger including the thumb, and another three for the wrist.

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In this article, we present a novel approach to performing engineering simulation in an interactive environment. A synesthetic design approach is employed, which enables the user to gather information about the system's behaviour more holistically, at the same time as facilitating interaction with the simulated system. The system considered in this work is a snake robot moving on a flat surface.

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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.

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Tomographic quantitative phase imaging (QPI) lacks an absolute refractive index value baseline, which poses a problem when large dense objects extending over multiple fields of view are measured volume by volume and stitched together. Some of the measurements lack the natural baseline value that is provided by the mounting medium with a known refractive index. In this work, we discuss the problem of the refractive index (RI) baseline of individual reconstructed volumes that are deprived of access to mounting medium due to the extent of the object.

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Article Synopsis
  • Exposure to laser light can negatively affect the examination of cell cultures with holographic imaging techniques, leading researchers to seek alternatives like using lower intensity and broader spectrum light.
  • The study focuses on lensless digital holographic microscopy (LDHM) operating under low photon budget (LPB) conditions, which allows for effective imaging of live cells while minimizing sample interaction.
  • Results show that even with low illumination power (down to 7 µW), the quality of holographic imaging remains high, supported by numerical denoising techniques, and successfully demonstrated on complex biological samples like live glial restricted progenitor cells.
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We present a holographic tomography technique in which the projections are acquired using both wavelength and illumination scanning in the near-infrared region. We show how to process the acquired data to obtain correct values of three-dimensional refractive index distributions in both single-wavelength and multi-wavelength data acquisition schemes and how to properly account for the dispersion of the sample. We perform numerical and experimental comparisons of different illumination scenarios to determine the most efficient measurement protocol.

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The proper classification of the origins of food products is a crucial issue all over the world nowadays. In this paper, the authors present a device-a multispectral portable fibre-optic reflectometer and signal processing patch-together with a machine-learning algorithm for the classification of the origins of chicken eggshells in the case of infection. The sensor device was developed based on previous studies with a continuous spectrum in transmittance and selected spectral lines in reflectance.

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In this paper we present a structurally-complex biomimetic scattering structure, fabricated with two-photon polymerization, and utilize this object in order to benchmark a computational imaging system. The phantom allows to tailor the scattering by modifying its degrees of freedom i.e.

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A Transformer-Based Model for Super-Resolution of Anime Image.

Sensors (Basel)

October 2022

Graduate School of Information, Production and System, Waseda University, Kitakyushu 808-0135, Japan.

Image super-resolution (ISR) technology aims to enhance resolution and improve image quality. It is widely applied to various real-world applications related to image processing, especially in medical images, while relatively little appliedto anime image production. Furthermore, contemporary ISR tools are often based on convolutional neural networks (CNNs), while few methods attempt to use transformers that perform well in other advanced vision tasks.

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Deep Learning Based One-Class Detection System for Fake Faces Generated by GAN Network.

Sensors (Basel)

October 2022

Graduate School of Information, Production and Systems, Waseda University, Kitakyushu 808-0135, Japan.

Recently, the dangers associated with face generation technology have been attracting much attention in image processing and forensic science. The current face anti-spoofing methods based on Generative Adversarial Networks (GANs) suffer from defects such as overfitting and generalization problems. This paper proposes a new generation method using a one-class classification model to judge the authenticity of facial images for the purpose of realizing a method to generate a model that is as compatible as possible with other datasets and new data, rather than strongly depending on the dataset used for training.

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Building on Gabor seminal principle, digital in-line holographic microscopy provides efficient means for space-time investigations of large volumes of interest. Thus, it has a pivotal impact on particle tracking that is crucial in advancing various branches of science and technology, e.g.

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Image network design is a critical factor in image-based 3D shape reconstruction and data processing (especially in the application of combined SfM/MVS methods). This paper aims to present a new approach to designing and planning multi-view imaging networks for dynamic 3D scene reconstruction without preliminary information about object geometry or location. The only constraints are the size of defined measurement volume, the required resolution, and the accuracy of geometric reconstruction.

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sSfS: Segmented Shape from Silhouette Reconstruction of the Human Body.

Sensors (Basel)

January 2022

Mnemosis S. A., 8 Józefa Str., 31-056 Krakow, Poland.

Three-dimensional (3D) shape estimation of the human body has a growing number of applications in medicine, anthropometry, special effects, and many other fields. Therefore, the demand for the high-quality acquisition of a complete and accurate body model is increasing. In this paper, a short survey of current state-of-the-art solutions is provided.

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Preprocessing methods for quantitative phase image stitching.

Biomed Opt Express

January 2022

Warsaw University of Technology, Institute of Micromechanics and Photonics, ul. Sw. A. Boboli 8, Warsaw, 02-525, Poland.

Quantitative phase imaging of cell cultures and histopathological slides often requires measurements in large fields of view which is realized through the stitching of multiple high resolution phase maps. Due to the characteristic properties of phase images, careful preprocessing is crucial for maintaining the metrological value of the stitched phase image. In this work, we present various methods that address those properties.

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Quantitative Phase Imaging (QPI) provides unique means for the imaging of biological or technical microstructures, merging beneficial features identified with microscopy, interferometry, holography, and numerical computations. This roadmap article reviews several digital holography-based QPI approaches developed by prominent research groups. It also briefly discusses the present and future perspectives of 2D and 3D QPI research based on digital holographic microscopy, holographic tomography, and their applications.

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CT appearance and measurements of the normal thyroid gland in goats.

BMC Vet Res

October 2021

Department of Small Animal Diseases with Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Warsaw, Poland.

Background: Goats are increasingly being kept as companion animals, thus their owners expect advanced medical care, including modern diagnostic imaging. Computed tomography (CT) is now widely used in veterinary medicine, in both clinical practice and for scientific purposes. So far, the CT appearance of various body parts has been described in goats, but reports on thyroid gland CT are still lacking.

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In this work we propose an open-top like common-path intrinsically achromatic optical diffraction tomography system. It operates as a total-shear interferometer and employs Ronchi-type amplitude diffraction grating, positioned in between the camera and the tube lens without an additional 4f system, generating three-beam interferograms with achromatic second harmonic. Such configuration makes the proposed system low cost, compact and immune to vibrations.

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Segmentation of Change in Surface Geometry Analysis for Cultural Heritage Applications.

Sensors (Basel)

July 2021

Institute of Micromechanics and Photonics, Faculty of Mechatronics, Warsaw University of Technology, ul. Św. Andrzeja Boboli 8, 02-525 Warsaw, Poland.

This work proposes a change-based segmentation method for applications to cultural heritage (CH) imaging to perform monitoring and assess changes at each surface point. It can be used as a support or component of the 3D sensors to analyze surface geometry changes. In this research, we proposed a new method to identify surface changes employing segmentation based on 3D geometrical data acquired at different time intervals.

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Somatic embryogenesis is the formation of a plant embryo from a cell other than the product of gametic fusion. The need to recognize the determinants of somatic cell fate has prompted investigations on how endogenous factors of donor tissues can determine the pattern of somatic embryo origin. The undertaking of this study was enabled by the newly developed experimental system of somatic embryogenesis of the tree fern Sternb.

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