Deep convolutional neural networks (CNNs) have been widely used in various medical imaging tasks. However, due to the intrinsic locality of convolution operations, CNNs generally cannot model long-range dependencies well, which are important for accurately identifying or mapping corresponding breast lesion features computed from unregistered multiple mammograms. This motivated us leverage architecture Multi-view Vision Transformers capture relationships mammograms same patient one...

Purpose This study aims to propose a novel acoustic metamaterial waveguide with active switchable channels by changing the magnetic field strength. Design/methodology/approach Based on Bragg scattering mechanism and force-magnetic coupling effect of magnetorheological elastomer (MRE), an structure containing lead scatterers MRE/rubber matrix is constructed. By external strength, bandgap can be adjusted, then proposed actively switched. The ranges metamaterials different sizes are designing...

Chemical modifications in mRNAs such as pseudouridine (psi) can regulate gene expression, although our understanding of the functional impact individual psi modifications, especially neuronal cells, is limited. We apply nanopore direct RNA sequencing to investigate dynamics under cellular perturbations SH-SY5Y cells. assign sites synthases using siRNA-based knockdown. A steady-state enzyme-substrate model reveals a strong correlation between synthase and mRNA substrate levels modification...

Significance: Searching analyzable metaphase chromosomes is a critical step for the diagnosis and treatment of leukemia patients, searching efficiency limited by difficulty that conventional microscopic systems have in simultaneously achieving high resolution large field view (FOV). However, this challenge can be addressed Fourier ptychography microscopy (FPM) technology. Aim: The purpose study to investigate feasibility utilizing FPM reconstruct high-resolution chromosome images. Approach:...

The purpose of this investigation is to develop and initially assess a quantitative image analysis scheme that utilizes histopathological images predict the treatment effectiveness bevacizumab therapy in ovarian cancer patients. As widely accessible diagnostic tool, slides contain copious information regarding underlying tumor progression associated with prognosis. However, cannot be readily identified by conventional visual examination. This study novel pathomics technology quantify...

In this study, we proposed a multiplexed color illumination strategy to improve the data acquisition efficiency of Fourier ptychography microscopy (FPM). Instead sequentially lighting up one single channel LED, our method turns on multiple white light LEDs for each image via camera. Thus, raw contains spectral information. An FPM prototype was developed, which equipped with 4×/0.13 NA objective lens achieve spatial resolution equivalent that 20×/0.4 lens. Both two- and four-LED patterns were...

This paper presents new formulas to determine the depth of field (DOF) optical and digital microscope systems. Unlike conventional DOF formula, methods consider interplay geometric diffraction optics for infinite finite microscopes corresponding It is shown that in addition well understood parameters such as numerical apertures, focal length, light wavelength, system components aperture stops also affect DOF. For same objective lens, inversely proportional size stop, it length ocular lens....

Deep convolutional neural networks (CNNs) have been widely used in various medical imaging tasks. However, due to the intrinsic locality of convolution operation, CNNs generally cannot model long-range dependencies well, which are important for accurately identifying breast cancer from unregistered multi-view mammograms. This motivates us leverage architecture Vision Transformers capture relationships multiple mammograms same patient. For this purpose, we employ local Transformer blocks...

The mapping of traction forces is crucial to understanding the means by which cells regulate their behavior and physiological function adapt communicate with local microenvironment. To this end, polymeric micropillar arrays have been used for measuring cell force. However, small scale deflections induced results in highly inefficient force analyses using conventional optical approaches; many cases, may be below limits detection achieved microscopy. address these limitations, moiré phenomenon...

This study aims to investigate the impact of external filtration on image quality and exposure time an in-line phase-contrast x-ray breast imaging prototype. <br/> A Contrast-Detail phantom is imaged by 59 kV 89 systems with a CCD camera varying filter thicknesses, ranging from 1.0 mm 3.3 aluminum. The average glandular radiation dose set 1.3 mGy throughout experiment, regardless parameters. (CD) curves are generated reading results three experienced observers. Contrast-to-Noise-Ratio (CNR)...

Accurate tumor segmentation is a critical step in the development of computer-aided detection (CAD) based quantitative image analysis scheme for early stage prognostic evaluation ovarian cancer patients. The purpose this investigation to assess efficacy several different methods segment metastatic tumors occurred organs In study, we developed consisting eight algorithms, which can be divided into three groups: 1) Region growth methods; 2) Canny operator and 3) Partial differential equation...

Metaphase chromosome karyotyping plays an important role in the diagnosis of certain cancers and some genetic diseases by detecting abnormalities. For this technique, high magnification objective lens is used to ensure chromosome's band pattern sharpness, but small field view (FOV) makes imaging chromosomes very tedious time consuming. The purpose study verify use Fourier ptychography microscopy (FPM) system high-resolution karyotyping. Based on our former study, we further expanded...

Fourier ptychography microscopy (FPM) is a computational imaging technique that enables high resolution and large FOV simultaneously. For FPM, multiplexed LED illumination can significantly improve the efficiency of image data acquisition at cost deteriorated quality in reconstructed images. In this study, we aim to evaluate FPM with different configurations. purpose, prototype microscope was developed, which equipped 4×/0.1 NA objective lens. This used test 1 conventional, 2 multiplexed, 4...

Vasospasm is a common complication in aneurysmal subarachnoid hemorrhage (aSAH). Currently, patients with aSAH are usually monitored at intensive care unit (ICU) for approximately 14 days early detection and treatment of vasospasm. To facilitate the diagnosis decision-making process, this investigation aims to combine radiomics deep learning technologies predict vasospasm that requires intra-arterial aSAH. For purpose, retrospective dataset was collected, containing total 52 patients. Next,...

The purpose of this study is to investigate the impact using morphological information in classifying suspicious breast lesions. widespread use deep transfer learning can significantly improve performance mammogram based CADx schemes. However, digital mammograms are grayscale images, while models typically optimized natural images containing three channels. Thus, it needed convert into channel for input models. This aims develop a novel pseudo color image generation method which utilizes...

Abstract Transcriptional bursts refer to periods when RNA polymerase interacts with a DNA locus, leading active gene transcription. This bursting activity can vary across individual cells, and analyzing the differences in transcription sites help identify key drivers of expression for specific target. Scaffolding methods based on fluorescence situ hybridization (FISH) have been widely used amplify fluorescent signal mRNAs sort cells mRNA levels. However, these are inefficient at targeting...

Fourier Ptychography Microscopy (FPM) is considered as one emerging technology for the development of high efficiency and low-cost microscopic scanners. One major advantages FPM its large depth field (DOF), which significantly reduces mechanical accuracy requirement scanning stages. In this study, we experimentally measured DOF our prototype under different illumination conditions. The measurements were based on theory that range along optical axis contrast above 80% maximum when adjusting...

Neuromorphic computing has shown promise in metrics such as power consumption and parallelism over existing computer systems, which essentially promote the development of neuromorphic processors recent years. In order to properly place increasing number neuron cores support inter-core communication, Network-on-Chip (NoC) is widely used design processors. Mesh historically been for multi-core NoCs, however, chips, computation are relatively small, mesh-based SNN with high resource occupation...

Abstract This study aims to develop a high throughput Fourier ptychographic microscopy (FPM) technique based on symmetric illumination and color detector, which is able accelerate image acquisition by up 12 times. As an emerging technology, the efficiency of FPM limited its data process, especially for microscope reconstruction. To overcome this, we built prototype equipped with camera 4×/0.13 NA objective lens. During acquisition, two LEDs illuminate sample simultaneously using white light,...