检索结果-内蒙古大学图书馆

Computational imaging modalities for multi-focal whole-slide imaging systems

APPLIED OPTICS 2020年第20期59卷 5967-5982页

作者： van der Graaff, Leon van Leenders, Geert J. L. H. Boyaval, Fanny Stallinga, Sjoerd Delft Univ Technol Dept Imaging Phys Delft Netherlands Erasmus MC Dept Pathol Rotterdam Netherlands Leiden Univ Dept Pathol Med Ctr Leiden Netherlands

Whole-slide imaging systems can generate full-color image data of tissue slides efficiently, which are needed for digital pathology applications. This paper focuses on a scanner architecture that is based on a multi-line image sensor that is tilted with respect to the optical axis, such that every line of the sensor scans the tissue slide at a different focus level. This scanner platform is designed for imaging with continuous autofocus and inherent color registration at a throughput of the order of 400 MPx/s. Here, single-scan multi-focal whole-slide imaging, enabled by this platform, is explored. In particular, two computational imaging modalities based on multi-focal image data are studied. First, 3D imaging of thick absorption stained slides (similar to 60 mu m) is demonstrated in combination with deconvolution to ameliorate the inherently weak contrast in thick-tissue imaging. Second, quantitative phase tomography is demonstrated on unstained tissue slides and on fluorescently stained slides, revealing morphological features com-plementary to features made visible with conventional absorption or fluorescence stains. For both computational approaches simplified algorithms are proposed, targeted for straightforward parallel processing implementation at similar to GPx/s throughputs. (C) 2020 Optical Society of America

关键词： image formation theory image processing image processing algorithms image quality Imaging systems Three dimensional imaging

来源：评论

学校读者我要写书评

暂无评论

Deep learning-based light scattering microfluidic cytometry for label-free acute lymphocytic leukemia classification

引用

BIOMEDICAL OPTICS EXPRESS 2020年第11期11卷 6674-6686页

作者： Sun, Jing Wang, Lan Liu, Qiao Tarnok, Attila Su, Xuantao Shandong Univ Sch Microelect Jinan Peoples R China Shandong Univ Sch Control Sci & Engn Inst Biomed Engn Jinan Peoples R China Shandong Univ Minist Educ Key Lab Expt Teratol Jinan Peoples R China Shandong Univ Dept Mol Med & Genet Sch Basic Med Sci Jinan Peoples R China Fraunhofer Inst Cell Therapy & Immunol IZI Dept Therapy Validat Leipzig Germany Univ Leipzig Inst Med Informat Stat & Epidemiol IMISE Leipzig Germany Shandong Univ Adv Med Res Inst Jinan Peoples R China

The subtyping of Acute lymphocytic leukemia (ALL) is important for proper treatment strategies and prognosis. Conventional methods for manual blood and bone marrow testing are time-consuming and labor-intensive, while recent flow cytometric immunophenotyping has the limitations such as high cost. Here we develop the deep learning-based light scattering imaging flow cytometry for label-free classification of ALL. The single ALL cells confined in three dimensional (3D) hydrodynamically focused stream are excited by light sheet. Our label-free microfluidic cytometry obtains big-data two dimensional (2D) light scattering patterns from single ALL cells of B/T subtypes. A deep learning framework named Inception V3-SIFT (Scale invariant feature transform)-Scattering Net (ISSC-Net) is developed, which can perform high-precision classification of T-ALL and B-ALL cell line cells with an accuracy of 0.993 +/- 0.003. Our deep learning-based 2D light scattering flow cytometry is promising for automatic and accurate subtyping of un-stained ALL. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： Elastic scattering Forward scattering image analysis image processing algorithms Light scattering Scattering measurement

来源：评论

学校读者我要写书评

暂无评论

Programmable liquid crystal display based noise reduced dynamic synthetic coded aperture imaging camera (NoRDS-CAIC)

引用

OPTICS EXPRESS 2020年第4期28卷 5221-5238页

作者： Jiang, Zhilong Yang, Shuwei Huang, Huachuan He, Xiaoliang Kong, Yan Gao, Aihua Liu, Cheng Yan, Keding Wang, Shouyu Jiangnan Univ Sch Sci Computat Opt Lab Wuxi 214122 Jiangsu Peoples R China Xian Technol Univ Sch Optoelect Engn Xian 710032 Shaanxi Peoples R China Xian Technol Univ Sch Elect Informat Engn Xian 710032 Shaanxi Peoples R China Southwest Univ Sci & Technol Minstry Educ Sch Manufacture Sci & Engn Key Lab Testing Technol Mfg Proc Mianyang 621010 Sichuan Peoples R China Nanjing Agr Univ Single Mol Nanometry Lab Sinmolab Nanjing 210095 Jiangsu Peoples R China

Besides traditional lens-based imaging techniques, coded aperture imaging (CAI) can also provide target images but without using any optical lenses, therefore it is another solution in imaging applications. Most CAI methods reconstruct target image only from a single-shot coded image using a fixed coding mask;however, the collected partial information inevitably deteriorates the reconstruction quality. Though multi-exposure CAI methods are designed, these existed algorithms can hardly improve reconstruction signal-to-noise ratio (SNR) and spatial resolution simultaneously;additionally, dynamic coding mask display still requires expensive devices and complicated systems. In order to reconstruct target image with both enhanced spatial resolution and SNR but using cost-effective devices and a simple system, we design a noise reduced dynamic synthetic coded aperture imaging camera (NoRDS-CAIC) in this paper. The NoRDS-CAIC only consists of a programmable liquid crystal display (LCD) and an image recorder, and both of them are integrated with a three-dimensional printed shell with the compact size of 19 cm x 15 cm x 16 cm and controlled by our designed software to automatically realize coding mask display, coded image recording and target image reconstruction. When using the NoRDS-CAIC, the optimized coding mask is first sent to the programmable LCD and displayed, then the corresponding coded image is automatically captured using the image recorder. Next, cycle the above procedures to capture enough coded images with previously known coding masks and measured point spread functions (PSFs), and the target image can be finally reconstructed using our designed NoRDS-CAIC decoding algorithm, which is shown with better noise suppression capability and higher reconstruction resolution compared to other classical CAI algorithms. According to the experimental verifications, the NoRDS-CAIC can reach the high resolution of 99.2 mu m and the high SNR of 19.43 dB, proving that the d

关键词： image processing algorithms Imaging techniques Optical imaging Phase imaging Wave front sensing X ray imaging

来源：评论

学校读者我要写书评

暂无评论

Procedure for detecting the shape and size of defects on metallic substrates under composite repairs using shearography

引用

APPLIED OPTICS 2020年第27期59卷 8089-8097页

作者： Felipe, Diego Staub Benedet, Mauro Fantin, Analucia Vieira Willemann, Daniel Pedro Fonseca Martins, Fabiana Dias Fampa Seabra D'Almeida, Ana Lucia Soares, Sergio Damasceno Goncalves Jr, Armando Albertazzi Lenzi, Arcanjo Univ Fed Santa Catarina 5053 Univ Campus Florianopolis SC Brazil Univ Estado Santa Catarina 2007 Itacorubi Florianopolis SC Brazil CENPES Petrobras Rio De Janeiro RJ Brazil

This paper presents a numerical-experimental procedure to characterize through-holes with arbitrary shapes present on metallic substrates under composite material sleeves using pulsed laser shearography and dynamic excitation combined to the finite element method. The so-called fitting process consists of matching experimental and numerical results in order to determine the shape and dimensions of the holes under the composite repair, or even quantify defects between layers of the composite laminate. The results show that the technique is capable of characterizing, in the worst case, the geometry of a hole with 83% accuracy and its respective area with a maximum error of approximately 20%. The advantageous results achieved in this research show that the fitting process can be very useful for real applications in the oil and petroleum industry. (C) 2020 Optical Society of America

关键词： Composite materials image processing algorithms Industrial optical metrology Interferometry Michelson interferometers Pulsed operation

来源：评论

学校读者我要写书评

暂无评论

Design and investigation of a digital photocolorimeter

引用

JOURNAL OF OPTICAL TECHNOLOGY 2020年第9期87卷 521-526页

作者： Zhbanova, V. L. Branch Natl Res Univ Moscow Power Engn Inst Smolensk Russia

In this study, a digital photocolorimeter was developed based on a detector matched with an intrinsic operational color space and a set of optical filters. The color space M-2'N-2'P-2' with properties similar to the curves of the CIE XYZ 1931 system was used. Software was developed for processing of black-and-white images to operate the digital colorimeter. The image processing algorithm in the CIE LAB system is explained and the experimental procedure for determining the color coordinates of samples in the M-2'N-2'P-2' color space using X1X2Y1Z1 detectors is described herein. The color difference between green, yellow-green, and yellow optical filters was determined for an objective assessment of the quality of the developed system. Subsequently, an analysis of the experimental values was performed, and our system exhibited satisfactory results. The possible applications of the developed photocolorimeter are also proposed. (C) 2020 Optical Society of America

关键词： Color difference Color reproduction Color spaces image processing image processing algorithms Optical devices

来源：评论

学校读者我要写书评

暂无评论

New luminescence lifetime macro-imager based on a Tpx3Cam optical camera

引用

BIOMEDICAL OPTICS EXPRESS 2020年第1期11卷 77-88页

作者： Sen, Rajannya Hirvonen, Liisa M. Zhdanov, Alexander Svihra, Peter Andersson-Engels, Stefan Nomerotski, Andrei Papkovsky, Dmitri Univ Coll Cork Sch Biochem & Cell Biol Cork Ireland Univ Western Australia CMCA Crawley WA 6009 Australia Czech Tech Univ Fac Nucl Sci & Phys Engn Dept Phys Prague 11519 Czech Republic Univ Manchester Sch Nat Sci Dept Phys & Astron Manchester M13 9PL Lancs England Tyndall Natl Inst Irish Photon Integrat Ctr Cork Ireland Brookhaven Natl Lab Phys Dept Upton NY 11973 USA

The properties of a novel ultra-fast optical imager, Tpx3Cam, were investigated for macroscopic wide-field phosphorescent lifetime imaging (PLIM) applications. The camera is based on a novel optical sensor and Timepix3 readout chip with a time resolution of 1.6 ns, recording of photon arrival time and time over threshold for each pixel, and readout rate of 80 megapixels per second. In this study, we coupled the camera to an image intensifier, a 760 nm emission filter and a 50 mm lens, and with a super-bright 627nm LED providing pulsed excitation of a 18 x 18 mm sample area. The resulting macro-imager with compact and rigid optical alignment of its main components was characterised using planar phosphorescent 02 sensors and a resolution plate mask. Several acquisition and image processing algorithms were evaluated to optimise the system resolution and performance for the wide-field PLIM, followed by imaging a variety of phosphorescent samples. The new PLIM system looks promising, particularly for phosphorescence lifetime-based imaging of O-2 in various chemical and biological samples. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： CCD cameras CMOS cameras image intensifiers image processing algorithms Optical testing Quantum imaging

来源：评论

学校读者我要写书评

暂无评论

Fast, sub-pixel accurate, displacement measurement method: optical and terahertz systems

引用

OPTICS LETTERS 2020年第24期45卷 6611-6614页

作者： Wan, Min Healy, John J. Sheridan, John T. Univ Coll Dublin Coll Architecture & Engn Sch Elect & Elect Engn Dublin 4 Ireland

A novel (to the best of our knowledge), fast method to measure in-plane object motion in 1D with sub-pixel accuracy which complements the correlation technique is proposed. The method is verified experimentally using both visible and terahertz images. The absolute sum of grey level accumulated change is used to quantify object motion. The method requires calibration for each target, but only addition and. subtraction operations. This results in a decrease of two orders of magnitude in the computation time. (C) 2020 Optical Society of America

关键词： Diode pumped lasers image processing algorithms image quality Optical measurement Ptychography Terahertz imaging

来源：评论

学校读者我要写书评

暂无评论

Optical topography of rough surfaces using vortex localization of fluorescent markers

引用

OPTICS LETTERS 2020年第16期45卷 4468-4471页

作者： Schovanek, Petr Bouchal, Petr Bouchal, Zdenek Palacky Univ Dept Opt 17 Listopadu 1192-12 Olomouc 77146 Czech Republic Meopta Optika Sro Kabelikova 1 Prerov 75002 Czech Republic Brno Univ Technol Fac Mech Engn Inst Phys Engn Tech 2 Brno 61669 Czech Republic Brno Univ Technol Cent European Inst Technol Purkynova 656-123 Brno 61200 Czech Republic

Measuring rough surfaces is challenging because the proven topographic methods are impaired by the adverse effects of diffuse light. In our method, the measured surface is marked by fluorescent nanobeads allowing a complete suppression of diffuse light by bandpass filtering. Light emitted by each fluorescent bead is shaped to a double-helix point spread function used for three-dimensional bead localization on the surface. This non-interferometric measurement of rough surface topography is implemented in a vibration resistant setup. The comparison of our method with vertical scanning interferometry shows that a commercial profiler is surpassed when ground glass surfaces with steep slopes are measured. (C) 2020 Optical Society of America

关键词： Bandpass filters Fluorescent markers Green fluorescent protein image processing algorithms Phase unwrapping Vibration

来源：评论

学校读者我要写书评

暂无评论

Generative adversarial networks and faster-region convolutional neural networks based object detection in X-ray baggage security imagery

引用

OSA CONTINUUM 2020年第12期3卷 3604-3614页

作者： Kim, Jongchol Kim, Jiyong Ri, Jinmyong Univ Sci Dept Control Sci Pyongyang 999093 South Korea

X-ray images have now been widely used in public transportation security. However, the ever-increasing number of dangerous object types, along with the complexity of the baggage's contents, makes it unsuitable for clearly displaying various baggages and hazards on X-ray images obtained directly from the inspection system. This article aims to improve the detection of dangerous objects by proposing a data augmentation method for enriching the X-ray prohibited item images using a Generative Adversarial Networks(GANs) based approach. Using the improved GANs model, a new X-ray images were generated with better quality and diversity, and the performance of the proposed method was evaluated using FID(Frechet Inception Distance) score and Faster R-CNN (Region-based Convolutional Neural Network). Experimental results show that the new augmented X-ray security inspection image dataset can improve the detector performance. If other representative training datasets are utilized, we believe that our methodology could aid in the detection of other kinds of threat objects. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： image processing algorithms image quality Neural networks Object detection Vision modeling X ray imaging

来源：评论

学校读者我要写书评

暂无评论

Real-time visible light positioning supporting fast moving speed

引用

OPTICS EXPRESS 2020年第10期28卷 14503-14510页

作者： Lin, Puxi Hu, Xubin Ruan, Yukui Li, Huaping Fang, Junjian Zhong, Yongchun Zheng, Huadan Fang, Junbin Jiang, Zoe Lin Chen, Zhe Jinan Univ Guangdong Prov Engn Technol Res Ctr VLC Guangzhou Municipal Key Lab Engn Technol VLC Guangzhou 510632 Peoples R China Jinan Univ Dept Optoelect Engn Guangzhou 510632 Peoples R China Peng Cheng Lab Cyberspace Secur Res Ctr Shenzhen 518055 Peoples R China Harbin Inst Technol Shenzhen 518055 Peoples R China

Real-time capability is a key factor which affects the practicality of an indoor positioning system significantly. While visible light positioning (VLP) is widely studied since it can provide indoor positioning functionality with LED illumination, the existing VLP systems still suffer from the high positioning latency and are not practical for mobile units with high moving speed. In this paper, a real-time VLP system with low positioning latency and high positioning accuracy is proposed. With the lightweight image processing algorithm, the proposed system can be implemented on low-cost embedded system and support real-time accurate indoor positioning for mobile units with a fast moving speed. Experimental results show that the proposed system implemented on a Raspberry Pi can achieve a positioning accuracy of 3.93 cm and support the moving speed up to 38.5 km/h. (c) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： image processing image processing algorithms image sensors LED lighting Ultrawideband signals Visible light

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：