Microscopy最新文献_第8页

Application of machine learning techniques to electron microscopic/spectroscopic image data analysis 机器学习技术在电子显微镜/光谱图像数据分析中的应用

IF 1.8 4区工程技术

Microscopy Pub Date : 2019-11-01 DOI: 10.1093/jmicro/dfz036

Shunsuke Muto;Motoki Shiga

{"title":"Application of machine learning techniques to electron microscopic/spectroscopic image data analysis","authors":"Shunsuke Muto;Motoki Shiga","doi":"10.1093/jmicro/dfz036","DOIUrl":"10.1093/jmicro/dfz036","url":null,"abstract":"The combination of scanning transmission electron microscopy (STEM) with analytical instruments has become one of the most indispensable analytical tools in materials science. A set of microscopic image/spectral intensities collected from many sampling points in a region of interest, in which multiple physical/chemical components may be spatially and spectrally entangled, could be expected to be a rich source of information about a material. To unfold such an entangled image comprising information and spectral features into its individual pure components would necessitate the use of statistical treatment based on informatics and statistics. These computer-aided schemes or techniques are referred to as multivariate curve resolution, blind source separation or hyperspectral image analysis, depending on their application fields, and are classified as a subset of machine learning. In this review, we introduce non-negative matrix factorization, one of these unfolding techniques, to solve a wide variety of problems associated with the analysis of materials, particularly those related to STEM, electron energy-loss spectroscopy and energy-dispersive X-ray spectroscopy. This review, which commences with the description of the basic concept, the advantages and drawbacks of the technique, presents several additional strategies to overcome existing problems and their extensions to more general tensor decomposition schemes for further flexible applications are described.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfz036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43089560","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: 24

Implementing machine learning methods for imaging flow cytometry 实现用于成像流式细胞术的机器学习方法

IF 1.8 4区工程技术

Microscopy Pub Date : 2019-11-01 DOI: 10.1093/jmicro/dfaa005

Sadao Ota;Issei Sato;Ryoichi Horisaki

引用次数: 11

Electron tomography imaging methods with diffraction contrast for materials research 用于材料研究的衍射对比度电子断层成像方法

IF 1.8 4区工程技术

Microscopy Pub Date : 2019-11-01 DOI: 10.1093/jmicro/dfaa002

Satoshi Hata;Hiromitsu Furukawa;Takashi Gondo;Daisuke Hirakami;Noritaka Horii;Ken-Ichi Ikeda;Katsumi Kawamoto;Kosuke Kimura;Syo Matsumura;Masatoshi Mitsuhara;Hiroya Miyazaki;Shinsuke Miyazaki;Mitsu Mitsuhiro Murayama;Hideharu Nakashima;Hikaru Saito;Masashi Sakamoto;Shigeto Yamasaki

{"title":"Electron tomography imaging methods with diffraction contrast for materials research","authors":"Satoshi Hata;Hiromitsu Furukawa;Takashi Gondo;Daisuke Hirakami;Noritaka Horii;Ken-Ichi Ikeda;Katsumi Kawamoto;Kosuke Kimura;Syo Matsumura;Masatoshi Mitsuhara;Hiroya Miyazaki;Shinsuke Miyazaki;Mitsu Mitsuhiro Murayama;Hideharu Nakashima;Hikaru Saito;Masashi Sakamoto;Shigeto Yamasaki","doi":"10.1093/jmicro/dfaa002","DOIUrl":"10.1093/jmicro/dfaa002","url":null,"abstract":"Transmission electron microscopy (TEM) and scanning transmission electron microscopy (STEM) enable the visualization of three-dimensional (3D) microstructures ranging from atomic to micrometer scales using 3D reconstruction techniques based on computed tomography algorithms. This 3D microscopy method is called electron tomography (ET) and has been utilized in the fields of materials science and engineering for more than two decades. Although atomic resolution is one of the current topics in ET research, the development and deployment of intermediate-resolution (non-atomic-resolution) ET imaging methods have garnered considerable attention from researchers. This research trend is probably not irrelevant due to the fact that the spatial resolution and functionality of 3D imaging methods of scanning electron microscopy (SEM) and X-ray microscopy have come to overlap with those of ET. In other words, there may be multiple ways to carry out 3D visualization using different microscopy methods for nanometer-scale objects in materials. From the above standpoint, this review paper aims to (i) describe the current status and issues of intermediate-resolution ET with regard to enhancing the effectiveness of TEM/STEM imaging and (ii) discuss promising applications of state-of-the-art intermediate-resolution ET for materials research with a particular focus on diffraction contrast ET for crystalline microstructures (superlattice domains and dislocations) including a demonstration of in situ dislocation tomography.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfaa002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37692266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Enhancement of image contrast for carbon nanotube and polymer composite film in scanning electron microscope 扫描电子显微镜增强碳纳米管和聚合物复合膜的图像对比度

IF 1.8 4区工程技术

Microscopy Pub Date : 2019-11-01 DOI: 10.1093/jmicro/dfaa006

Yoichiro Hashimoto;Hiroyuki Ito;Masahiro Sasajima

引用次数: 2

For microscopy special issue on ‘AI and Imaging’ 显微镜“AI与成像”特刊

IF 1.8 4区工程技术

Microscopy Pub Date : 2019-11-01 DOI: 10.1093/jmicro/dfaa009

Yasushi Okada;Yasukazu Murakami

引用次数: 0

Structured Illumination Approaches for Super-Resolution in Plant Cells 植物细胞超分辨率的结构光照方法

IF 1.8 4区工程技术

Microscopy Pub Date : 2019-02-01 DOI: 10.1093/jmicro/dfy043

Sidney L Shaw;David Thoms;James Powers

{"title":"Structured Illumination Approaches for Super-Resolution in Plant Cells","authors":"Sidney L Shaw;David Thoms;James Powers","doi":"10.1093/jmicro/dfy043","DOIUrl":"10.1093/jmicro/dfy043","url":null,"abstract":"The application of structured illumination approaches for super-resolution light microscopy in plant cells is reviewed. Challenges and recent inroads using both wide-field and point-based techniques are discussed with specific application to live-cell imaging. The advent of super-resolution techniques in biological microscopy has opened new frontiers for exploring the molecular distribution of proteins and small molecules in cells. Improvements in optical design and innovations in the approaches for the collection of fluorescence emission have produced substantial gains in signal from chemical labels and fluorescent proteins. Structuring the illumination to elicit fluorescence from specific or even random patterns allows the extraction of higher order spatial frequencies from specimens labeled with conventional probes. Application of this approach to plant systems for super-resolution imaging has been relatively slow owing in large part to aberrations incurred when imaging through the plant cell wall. In this brief review, we address the use of two prominent methods for generating super-resolution images in living plant specimens and discuss future directions for gaining better access to these techniques.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfy043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36554902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Three-dimensional ultrastructure and hyperspectral imaging of metabolite accumulation and dynamics in Haematococcus and Chlorella 红球藻和小球藻代谢产物积累和动力学的三维超微结构和高光谱成像

IF 1.8 4区工程技术

Microscopy Pub Date : 2019-02-01 DOI: 10.1093/jmicro/dfy142

Shuhei Ota;Shigeyuki Kawano

{"title":"Three-dimensional ultrastructure and hyperspectral imaging of metabolite accumulation and dynamics in Haematococcus and Chlorella","authors":"Shuhei Ota;Shigeyuki Kawano","doi":"10.1093/jmicro/dfy142","DOIUrl":"10.1093/jmicro/dfy142","url":null,"abstract":"Basic as well as applied phycological researches have developed alongside light and electron microscopy. This article reviews recent studies of bioimaging in the context of algal biorefining, and explains how 3D-TEM imaging are becoming useful tools for analyzing and monitoring the dynamics of algal cells. Phycology has developed alongside light and electron microscopy techniques. Since the 1950s, progress in the field has accelerated dramatically with the advent of electron microscopy. Transmission electron microscopes can only acquire imaging data on a 2D plane. Currently, many of the life sciences are seeking to obtain 3D images with electron microscopy for the accurate interpretation of subcellular dynamics. Three-dimensional reconstruction using serial sections is a method that can cover relatively large cells or tissues without requiring special equipment. Another challenge is monitoring secondary metabolites (such as lipids or carotenoids) in intact cells. This became feasible with hyperspectral cameras, which enable the acquisition of wide-range spectral information in living cells. Here, we review bioimaging studies on the intracellular dynamics of substances such as lipids, carotenoids and phosphorus using conventional to state-of-the-art microscopy techniques in the field of algal biorefining.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfy142","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36848759","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: 4

Use of ionic liquid for X-ray micro-CT specimen preparation of imbibed seeds 离子液体在吸收种子X射线显微CT标本制备中的应用

IF 1.8 4区工程技术

Microscopy Pub Date : 2019-02-01 DOI: 10.1093/jmicro/dfy130

Daisuke Yamauchi;Aki Fukuda;Tomonori Nakai;Ichirou Karahara;Miyuki Takeuchi;Daisuke Tamaoki;Tetsuya Tsuda;Katsuhiko Tsunashima;Susumu Kuwabata;Masato Hoshino;Kentaro Uesugi;Akihisa Takeuchi;Yoshio Suzuki;Yoshinobu Mineyuki

引用次数: 2

Electron tomography in plant cell biology 植物细胞生物学中的电子断层扫描

IF 1.8 4区工程技术

Microscopy Pub Date : 2019-02-01 DOI: 10.1093/jmicro/dfy133

Marisa S Otegui;Jannice G Pennington

引用次数: 19

Long-term live-cell imaging approaches to study lateral root formation in Arabidopsis thaliana 拟南芥侧根形成的长期活细胞成像研究

IF 1.8 4区工程技术

Microscopy Pub Date : 2019-02-01 DOI: 10.1093/jmicro/dfy135

Tatsuaki Goh

{"title":"Long-term live-cell imaging approaches to study lateral root formation in Arabidopsis thaliana","authors":"Tatsuaki Goh","doi":"10.1093/jmicro/dfy135","DOIUrl":"10.1093/jmicro/dfy135","url":null,"abstract":"Observing cellular and molecular processes for an extended time at various scales are crucial for understanding biological processes during organogenesis. This review focuses on the contribution of multi-scale imaging approaches to understanding plant lateral root formation processes from cells to organs. Lateral roots comprise the majority of the branching root system and are important for acquiring nutrients and water from soil in addition to providing anchorage. Lateral roots develop post-embryonically from existing root parts and originate from a subset of specified pericycle cells (lateral root founder cells) located deep inside roots. Small numbers of these specified pericycle cells undergo several rounds of cell division to create a dome-shaped primordium, which eventually organizes a meristem, an essential region for plant growth with active cell division, and emerges from its parental root as a lateral root. Observing cellular and molecular processes for an extended time at various scales are crucial for understanding biological processes during organogenesis. Lateral root formation is an example of the successful application of live-cell imaging approaches to understand various aspects of developmental events in plants, including cell fate determination, cell proliferation, cell-to-cell interaction and cell wall modification. Here I review the recent progress in understanding the molecular mechanisms of lateral root formation and the contribution of live-cell imaging approaches.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfy135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36706449","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: 4