scholarly journals Application of Improved GS Algorithm In Cell Computing Holography

2021 ◽  
Author(s):  
Xiu xin Wang ◽  
Hao wang ◽  
Guan Fu ◽  
Jiwei Ling
Keyword(s):  
Spatial Information ◽  
Optical Microscope ◽  
Deformation Analysis ◽  
High Signal ◽  
Cell Detection ◽  
Phase Reconstruction ◽  
Phase Information ◽  
Urine Sediment ◽  
Cell Image ◽  
Improved Algorithm

Abstract Background: As an important research direction in cell image processing, Computer Hologram(CH) can quantitatively detect and analyze the amplitude and phase information of cells and holographic reconstruct the recorded images. Compared with the traditional optical microscope, CH reduces the complexity of operation, avoids the operation of cell staining and does not affect the physiological characteristics of cells in the recording process. It plays an important role in the field of cell morphology measurement and deformation analysis. Results: An improved Gerchberg-Saxton (GS) algorithm is proposed to reconstruct cell hologram based on phase information. The cell image reconstructed by GS Algorithm with phase restricted conditions are analyzed and compared. Through the comparative experiments of different models, it shows that the improved GS algorithm is better than the traditional GS algorithm in cell image reconstruction based on phase information. With the improved algorithm of phase mapping and normalization conditions, the reconstructed image can distinguish the cell edge information and high signal-to-noise ratio information. The urine sediment image is taken as the experimental object. After reconstruction by this algorithm, other impurity cells can be filtered out, and the aberrant red blood cell image with clear edge can be obtained. This improved algorithm provides a new application for cell detection in clinical diagnosis.Conclusions: The phase map reflects the temporal and spatial information of the image, determines the time or spatial position where different frequency signals appear, and describes the overall shape of the object. Due to biological cells generally for phase type or class phase objects, the improved GS algorithm in this paper can well describe the phase information of restored image, which is more suitable for the practical application of cell phase reconstruction.

scholarly journals Super-Resolution Lensless Imaging of Cells Using Brownian Motion

2019 ◽  
Vol 9 (10) ◽  
pp. 2080
Author(s):  
Yuan Fang ◽  
Ningmei Yu ◽  
Yuquan Jiang
Keyword(s):  
Brownian Motion ◽  
Imaging System ◽  
Imaging Technique ◽  
Super Resolution ◽  
Image Sensor ◽  
Oxide Semiconductor ◽  
Objective Lens ◽  
Cell Detection ◽  
Lensless Imaging ◽  
Cell Image

The lensless imaging technique, which integrates a microscope into a complementary metal oxide semiconductor (CMOS) digital image sensor, has become increasingly important for the miniaturization of biological microscope and cell detection equipment. However, limited by the pixel size of the CMOS image sensor (CIS), the resolution of a cell image without optical amplification is low. This is also a key defect with the lensless imaging technique, which has been studied by a many scholars. In this manuscript, we propose a method to improve the resolution of the cell images using the Brownian motion of living cells in liquid. A two-step algorithm of motion estimation for image registration is proposed. Then, the raw holographic images are reconstructed using normalized convolution super-resolution algorithm. The result shows that the effect of the collected cell image under the lensless imaging system is close to the effect of a 10× objective lens.

scholarly journals An Improved Phase-Robust Configuration for Vibration Amplitude-Phase Extraction for Capacitive MEMS Gyroscopes

Micromachines ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 362 ◽  
Author(s):  
Xudong Zheng ◽  
Siqi Liu ◽  
Yiyu Lin ◽  
Haibin Wu ◽  
Lai Teng ◽  
...  
Keyword(s):  
Vibration Amplitude ◽  
Microelectromechanical Systems ◽  
Phase Variation ◽  
Phase Information ◽  
Side Band ◽  
Deviation Analysis ◽  
Mems Gyroscopes ◽  
Capacitive Mems ◽  
Bias Instability ◽  
Improved Algorithm

This paper presents for the first time an improved algorithm for vibration amplitude-phase information extraction of capacitive microelectromechanical systems (MEMS) gyroscopes. Amplitude and phase information resulting from the improved algorithm is insensitive to the phase variation of an interface capacitance-voltage (CV) circuit, thus both long time drift of the gyroscope and bias instability have been improved. Experimental results show that both the phase and amplitude information extracted using this improved algorithm is insensitive to phase variation of CV circuit which is in accordance with theory. Bias instability using this improved configuration is 0.64°/h, which is improved two times more than the configuration using traditional double-side-band (DSB) demodulation configuration, and 4.3 times more than the configuration using single-side-band (SSB) demodulation, respectively. Allan deviation analysis shows that the slow varying drift term using D&S configuration is effectively reduced due to its robustness to CV phase variation compared to test results using DSB or SSB configuration.

scholarly journals Direct information retrieval after 3D reconstruction in grating-based X-ray phase-contrast computed tomography

2018 ◽  
Vol 25 (4) ◽  
pp. 1222-1228 ◽  
Author(s):  
Zhao Wu ◽  
Kun Gao ◽  
Zhili Wang ◽  
Chenxi Wei ◽  
Faiz Wali ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Information Retrieval ◽  
Phase Contrast ◽  
Three Dimensional ◽  
Large Field ◽  
Computational Time ◽  
Imaging Method ◽  
Phase Reconstruction ◽  
Phase Information ◽  
X Ray

Grating-based X-ray differential phase-contrast imaging has attracted a great amount of attention and has been considered as a potential imaging method in clinical medicine because of its compatibility with the traditional X-ray tube source and the possibility of a large field of view. Moreover, phase-contrast computed tomography provides three-dimensional phase-contrast visualization. Generally, two-dimensional information retrieval performed on every projection is required prior to three-dimensional reconstruction in phase-contrast computed tomography. In this paper, a three-dimensional information retrieval method to separate absorption and phase information directly from two reconstructed images is derived. Theoretical derivations together with numerical simulations have been performed to confirm the feasibility and veracity of the proposed method. The advantages and limitations compared with the reverse projection method are also discussed. Owing to the reduced data size and the absence of a logarithm operation, the computational time for information retrieval is shortened by the proposed method. In addition, the hybrid three-dimensional images of absorption and phase information were reconstructed using an absorption reconstruction algorithm, hence the existing data pre-processing methods and iterative reconstruction algorithms in absorption reconstruction may be utilized in phase reconstruction immediately.

scholarly journals Progress report of the TUDAB project for automated cancer cell detection.

1979 ◽  
Vol 27 (1) ◽  
pp. 604-612 ◽  
Author(s):  
W Abmayr ◽  
G Burger ◽  
H J Soost
Keyword(s):  
Data Acquisition ◽  
Image Data ◽  
Cell Detection ◽  
Vaginal Smears ◽  
Linear Discriminant ◽  
Cell Image ◽  
Computer Controlled ◽  
Cancer Cell Detection ◽  
Cell Data ◽  
Resolution Cell

Two methods for high resolution cell image data acquisition are applied routinely. Cells are either scanned by a computer controlled fast scanning microscope photometer (SMP) or a TV-camera. The software system for digital image analysis was completely revised and implemented on the PR 330 minicomputer. The system contains codes for primary cell data acquisition, segmentation of cells, cell feature extraction and statistical cell analysis. With this system, SMP and TV scanned cell data bases of PAP stained cells in vaginal smears, grouped into several classes, have been built up. Each data base contains 34 primary features and 20 feature combinations for each cell. A linear discriminant analysis is applied routinely for cell classification. The present state of the system and its operation are described, cell features and classification results are shown, and future steps for a prescreening strategy are discussed.

scholarly journals Effect of deformation temperature on mechanical properties and microstructure of TWIP steel for expansion tube

2020 ◽  
Vol 39 (1) ◽  
pp. 63-73
Author(s):  
Xue Haitao ◽  
Wang Dengke ◽  
Song Kaihong
Keyword(s):  
Electron Microscopy ◽  
Twip Steel ◽  
Optical Microscope ◽  
Deformation Analysis ◽  
Expansion Tube ◽  
Dislocation Glide ◽  
Deformation Twins ◽  
Before And After ◽  
Temperature Filed ◽  
Downhole Temperature

AbstractAccording to the downhole temperature filed, the mechanical behavior of TWIP steel for expansion tube was studied in the temperature range from 25°C to 300°C. Meanwhile, the phase and microstructure changes before and after deformation were investigated by X-ray diffractometer (XRD), optical microscope (OM), scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The results indicate that yield strength, tensile strength and elongation decrease with temperature increasing. The TWIP steel is single-phase of austenite before and after deformation. Analysis on the microstructure shows that the deformation twins gradually decrease with increasing temperature. The deformation process cannot benefit from the deformation twins, which is responsible for the decreased ductility. In addition, due to the increased temperature, the stacking fault energy becomes high enough to restrain twinning, thus dislocation glide becomes the main deformation mechanism.

scholarly journals Ultra High-Throughput Multiparametric Imaging Flow Cytometry: Towards Diffraction-Limited Sub-Cellular Detection

2019 ◽  
Author(s):  
Gregor Holzner ◽  
Bogdan Mateescu ◽  
Daniel van Leeuwen ◽  
Gea Cereghetti ◽  
Reinhard Dechant ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
Spatial Information ◽  
Standard Technique ◽  
Flow Cytometer ◽  
Cell Detection ◽  
Cytoplasmic Rna ◽  
Localization Analysis ◽  
Indispensable Tool ◽  
Diagnostic Applications

ABSTRACTFlow cytometry is widely recognized as the gold-standard technique for the analysis and enumeration of heterogeneous cellular populations and has become an indispensable tool in diagnostics,1 rare-cell detection2 and single-cell proteomics.3 Although contemporary flow cytometers are able to analyse many thousands of cells per second, with classification based on scattering or fluorescence criteria, the vast majority require unacceptably large sample volumes, and do not allow the acquisition of spatial information. Herein, we report a sheathless, microfluidic imaging flow cytometer that incorporates stroboscopic illumination for blur-free fluorescence and brightfield detection at analytical throughputs in excess of 60,000 cells/s and 400,000 cells per second respectively. Our imaging platform is capable of multi-parametric fluorescence quantification and subcellular (co-)localization analysis of cellular structures down to 500 nm with microscopy image quality. We demonstrate the efficacy of our approach by performing challenging high-throughput localization analysis of cytoplasmic RNA granules in yeast and human cells. Results suggest significant utility of the imaging flow cytometer in the screening of rare events at the subcellular level for diagnostic applications.

scholarly journals Choice of method of place cell classification determines the population of cells identified

2021 ◽  
Vol 17 (7) ◽  
pp. e1008835
Author(s):  
Dori M. Grijseels ◽  
Kira Shaw ◽  
Caswell Barry ◽  
Catherine N. Hall
Keyword(s):  
Spatial Information ◽  
Real Data ◽  
Place Cell ◽  
Place Cells ◽  
Optical Methods ◽  
Combination Method ◽  
Cell Detection ◽  
Imaging Data ◽  
Place Field ◽  
Implanted Electrodes

Place cells, spatially responsive hippocampal cells, provide the neural substrate supporting navigation and spatial memory. Historically most studies of these neurons have used electrophysiological recordings from implanted electrodes but optical methods, measuring intracellular calcium, are becoming increasingly common. Several methods have been proposed as a means to identify place cells based on their calcium activity but there is no common standard and it is unclear how reliable different approaches are. Here we tested four methods that have previously been applied to two-photon hippocampal imaging or electrophysiological data, using both model datasets and real imaging data. These methods use different parameters to identify place cells, including the peak activity in the place field, compared to other locations (the Peak method); the stability of cells’ activity over repeated traversals of an environment (Stability method); a combination of these parameters with the size of the place field (Combination method); and the spatial information held by the cells (Information method). The methods performed differently from each other on both model and real data. In real datasets, vastly different numbers of place cells were identified using the four methods, with little overlap between the populations identified as place cells. Therefore, choice of place cell detection method dramatically affects the number and properties of identified cells. Ultimately, we recommend the Peak method be used in future studies to identify place cell populations, as this method is robust to moderate variations in place field within a session, and makes no inherent assumptions about the spatial information in place fields, unless there is an explicit theoretical reason for detecting cells with more narrowly defined properties.

Sign in / Sign up

Export Citation Format

Share Document