Microscopy最新文献

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IF 1.8 4区工程技术

Microscopy Pub Date : 2023-08-01 DOI: 10.1093/jmicro/dfad038

引用次数: 0

Real-time scanning electron microscopy of unfixed tissue in the solution using a deformable and electron-transmissive film 使用可变形和电子透射膜对溶液中未固定组织进行实时扫描电子显微镜检查

IF 1.8 4区工程技术

Microscopy Pub Date : 2022-06-17 DOI: 10.1093/jmicro/dfac030

Seine A. Shintani, S. Yamaguchi, H. Takadama

引用次数: 0

Atomic-Resolution STEM Image Denoising by Total Variation Regularization. 基于全变分正则化的原子分辨率STEM图像去噪。

IF 1.8 4区工程技术

Microscopy Pub Date : 2022-06-17 DOI: 10.1093/jmicro/dfac032

Kazuaki Kawahara, R. Ishikawa, Shun Sasano, N. Shibata, Y. Ikuhara

引用次数: 4

Super-Resolution Reconstruction Based on BM3D and Compressed Sensing. 基于BM3D和压缩感知的超分辨率重建。

IF 1.8 4区工程技术

Microscopy Pub Date : 2022-06-16 DOI: 10.1093/jmicro/dfac029

Cheng Tao, Dongdong Jia

引用次数: 0

Reliable Electrochemical Setup for in situ Observations with an Atmospheric SEM. 可靠的电化学设置在现场观察与大气扫描电镜。

IF 1.8 4区工程技术

Microscopy Pub Date : 2022-06-11 DOI: 10.1093/jmicro/dfac028

Kaname Yoshida, Y. Sasaki, A. Kuwabara, Y. Ikuhara

引用次数: 0

Malaria Parasite Classification Framework using a Novel Channel Squeezed and Boosted CNN. 使用压缩和增强CNN的新频道的疟疾寄生虫分类框架。

IF 1.8 4区工程技术

Microscopy Pub Date : 2022-05-30 DOI: 10.1093/jmicro/dfac027

Dr. Saddam Hussain Khan, Najmus Saher Shah, Rabia Nuzhat, A. Majid, Hani Alquhayz, Asifullah Khan

{"title":"Malaria Parasite Classification Framework using a Novel Channel Squeezed and Boosted CNN.","authors":"Dr. Saddam Hussain Khan, Najmus Saher Shah, Rabia Nuzhat, A. Majid, Hani Alquhayz, Asifullah Khan","doi":"10.1093/jmicro/dfac027","DOIUrl":"https://doi.org/10.1093/jmicro/dfac027","url":null,"abstract":"Malaria is a life-threatening infection that infects the red blood cells (RBCs) that gradually grows throughout the body. The plasmodium parasite is caused by a female anopheles mosquito bite and severely affects numerous individuals within the world every year. Therefore, early detection tests are required to predict infected parasitic cells. The proposed technique exploits deep convolutional neural network (CNN) learning capability to detect the thin-blood smear parasitic patients from healthy individuals. In this regard, the detection is accomplished using a novel STM-SB-RENet block-based CNN that employs the idea of split-transform-merge (STM) and channel Squeezing-Boosting (SB) in a modified fashion. In this connection, a new convolutional block-based STM is developed, which systematically implements region and edge operations to explore the parasitic malaria pattern related to region-homogeneity, structural obstruction, and boundary-defining features. Moreover, the diverse boosted feature maps are achieved by incorporating the new channel SB and Transfer Learning (TL) idea in each STM block at abstract, intermediate, and target levels to capture minor contrast and texture variation between parasitic and normal artifacts. The malaria input images to the proposed models are initially transformed using discrete wavelet transform to generate enhanced and reduced feature space. The proposed architectures are validated using hold-out cross-validation on the National Institute of Health Malaria dataset. The proposed methods outperform the train from scratch, and TL-based fine-tuned existing techniques. The considerable performance (accuracy: 97.98%, sensitivity: 0.988, F-score: 0.980, and AUC: 0.996) of STM-SB-RENet suggests that it can be utilized to screen parasitic malaria patients.","PeriodicalId":48655,"journal":{"name":"Microscopy","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42209666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

A Functional Platform for Remote use of Electron Microscopes Using Web Conferencing Systems. 基于Web会议系统的电子显微镜远程使用功能平台。

IF 1.8 4区工程技术

Microscopy Pub Date : 2022-05-26 DOI: 10.1093/jmicro/dfac026

Makoto Sugiura-Nakazato, Hiroshi Takase, Takeru Nakazato

引用次数: 0

Whole-cell observation of ZIO-stained Golgi apparatus in rat hepatocytes with serial block-face scanning electron microscope, SBF-SEM 用连续块面扫描电镜(sgf - sem)观察大鼠肝细胞zio染色高尔基体的全细胞变化

IF 1.8 4区工程技术

Microscopy Pub Date : 2022-05-10 DOI: 10.1093/jmicro/dfac024

K. Johkura, N. Usuda, Yoshihiro Tanaka, Motoaki Fukasawa, K. Murata, T. Noda, N. Ohno

{"title":"Whole-cell observation of ZIO-stained Golgi apparatus in rat hepatocytes with serial block-face scanning electron microscope, SBF-SEM","authors":"K. Johkura, N. Usuda, Yoshihiro Tanaka, Motoaki Fukasawa, K. Murata, T. Noda, N. Ohno","doi":"10.1093/jmicro/dfac024","DOIUrl":"https://doi.org/10.1093/jmicro/dfac024","url":null,"abstract":"Abstract The Golgi apparatus, which plays a role in various biosynthetic pathways, is usually identified in electron microscopy by the morphological criteria of lamellae. A 3-dimensional analyses with serial block-face scanning electron microscope (SBF-SEM), a volume-SEM proficient in obtaining large volumes of data at the whole-cell level, could be a promising technique for understanding the precise distribution and complex ultrastructure of Golgi apparatus, although optimal methods for such analyses remain unclear since the observation can be hampered with sample charging and low image contrast, and manual segmentation often requires significant manpower. The present study attempted the whole-cell observation and semi-automatic classification and segmentation of the Golgi apparatus in rat hepatocytes for the first time by SBF-SEM via ZIO staining, a classical osmium impregnation. The staining electron-densely visualized individual Golgi lamellae, and their ultrastructure could stably be observed without any noticeable charging. The simple thresholding of the serial images enabled the efficient reconstruction of the labeled Golgi apparatus, which revealed plural Golgi apparatus in one hepatocyte. The combination of the heavy metal-based histochemistry of zinc, iodine and osmium (ZIO) staining and SBF-SEM was useful in the 3-dimensional observation of the Golgi apparatus at the whole-cell level because of two technical advantages: (i) visualization of the Golgi apparatus without any heavy metal staining and efficient acquisition of the block-face images without additional conductive staining or any devices for eliminating charging; (ii) easy identification of the staining and hassle-free, semi-automatic classification and segmentation by simple thresholding of the images. This novel approach could elucidate the topographic characteristics of the Golgi apparatus in hepatocytes.","PeriodicalId":48655,"journal":{"name":"Microscopy","volume":"71 1","pages":"262 - 270"},"PeriodicalIF":1.8,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42447308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Fabrication of an Electrochemical Chip for Liquid-Phase Transmission Electron Microscopy. 液相透射电镜电化学芯片的设计与制造。

IF 1.8 4区工程技术

Microscopy Pub Date : 2022-05-04 DOI: 10.1093/jmicro/dfac023

Y. Sasaki, Ayako Mizushima, Y. Mita, Kaname Yoshida, A. Kuwabara, Y. Ikuhara

引用次数: 0

Feasibility of control of particle assembly by dielectrophoresis in liquid-cell transmission electron microscopy 液体细胞透射电子显微镜中介质电泳控制粒子组装的可行性

IF 1.8 4区工程技术

Microscopy Pub Date : 2022-04-23 DOI: 10.1093/jmicro/dfac021

T. Yamazaki, Hiromasa Niinomi, Y. Kimura

{"title":"Feasibility of control of particle assembly by dielectrophoresis in liquid-cell transmission electron microscopy","authors":"T. Yamazaki, Hiromasa Niinomi, Y. Kimura","doi":"10.1093/jmicro/dfac021","DOIUrl":"https://doi.org/10.1093/jmicro/dfac021","url":null,"abstract":"Abstract Liquid-cell transmission electron microscopy (LC-TEM) is a useful technique for observing phenomena in liquid samples with spatial and temporal resolutions similar to those of conventional transmission electron microscopy (TEM). This method is therefore expected to permit the visualization of phenomena previously inaccessible to conventional optical microscopy. However, dynamic processes such as nucleation are difficult to observe by this method because of difficulties in controlling the condition of the sample liquid in the observation area. To approach this problem, we focused on dielectrophoresis, in which electrodes are used to assemble particles, and we investigated the phenomena that occurred when an alternating-current signal was applied to an electrode in an existing liquid cell by using a phase-contrast optical microscope (PCM) and TEM. In PCM, we observed that colloidal particles in a solution were attracted to the electrodes to form assemblies, that the particles aligned along the electric field to form pearl chains and that the pearl chains accumulated to form colloidal crystals. However, these phenomena were not observed in the TEM study because of differences in the design of the relevant holders. The results of our study imply that the particle assembly by using dielectrophoretic forces in LC-TEM should be possible, but further studies, including electric device development, will be required to realize this in practice.","PeriodicalId":48655,"journal":{"name":"Microscopy","volume":"71 1","pages":"231 - 237"},"PeriodicalIF":1.8,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44674900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2