東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Biological Imaging." ]

切換: 標籤 | MARC模式 | ISBD

Bioimage data analysis workflows = a...

Miura, Kota.

FindBook

Google Book

Amazon

博客來

Bioimage data analysis workflows = advanced components and methods /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bioimage data analysis workflows/ edited by Kota Miura, Natasa Sladoje.
其他題名:	advanced components and methods /
其他作者:	Miura, Kota.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	x, 212 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Batch Processing Methods in ImageJ -- Python: Data Handling, Analysis and Plotting -- Building a Bioimage Analysis Workflow Using Deep Learning -- GPU-Accelerating ImageJ Macro Image Processing Workflows Using CLIJ -- How to Do the Deconstruction of Bioimage Analysis Workflows: A Case Study with SurfCut -- i.2.i. with the (Fruit) Fly: Quantifying Position Effect Variegation in Drosophila Melanogaster -- A MATLAB Pipeline for Spatiotemporal Quantification of Monolayer Cell Migration.
Contained By:	Springer Nature eBook
標題:	Microscopy - Technique. -
電子資源:	https://doi.org/10.1007/978-3-030-76394-7
ISBN:	9783030763947

Bioimage data analysis workflows = advanced components and methods /
Bioimage data analysis workflowsadvanced components and methods /[electronic resource] :edited by Kota Miura, Natasa Sladoje. - Cham :Springer International Publishing :2022. - x, 212 p. :ill. (some col.), digital ;24 cm. - Learning materials in biosciences,2509-6133. - Learning materials in biosciences..

Introduction -- Batch Processing Methods in ImageJ -- Python: Data Handling, Analysis and Plotting -- Building a Bioimage Analysis Workflow Using Deep Learning -- GPU-Accelerating ImageJ Macro Image Processing Workflows Using CLIJ -- How to Do the Deconstruction of Bioimage Analysis Workflows: A Case Study with SurfCut -- i.2.i. with the (Fruit) Fly: Quantifying Position Effect Variegation in Drosophila Melanogaster -- A MATLAB Pipeline for Spatiotemporal Quantification of Monolayer Cell Migration.

Open Access

This open access textbook aims at providing detailed explanations on how to design and construct image analysis workflows to successfully conduct bioimage analysis. Addressing the main challenges in image data analysis, where acquisition by powerful imaging devices results in very large amounts of collected image data, the book discusses techniques relying on batch and GPU programming, as well as on powerful deep learning-based algorithms. In addition, downstream data processing techniques are introduced, such as Python libraries for data organization, plotting, and visualizations. Finally, by studying the way individual unique ideas are implemented in the workflows, readers are carefully guided through how the parameters driving biological systems are revealed by analyzing image data. These studies include segmentation of plant tissue epidermis, analysis of the spatial pattern of the eye development in fruit flies, and the analysis of collective cell migration dynamics. The presented content extends the Bioimage Data Analysis Workflows textbook (Miura, Sladoje, 2020), published in this same series, with new contributions and advanced material, while preserving the well-appreciated pedagogical approach adopted and promoted during the training schools for bioimage analysis organized within NEUBIAS - the Network of European Bioimage Analysts. This textbook is intended for advanced students in various fields of the life sciences and biomedicine, as well as staff scientists and faculty members who conduct regular quantitative analyses of microscopy images.

ISBN: 9783030763947

Standard No.: 10.1007/978-3-030-76394-7doiSubjects--Topical Terms:

600574
Microscopy
--Technique.

LC Class. No.: QH207 / .B56 2022

Dewey Class. No.: 570.282

Bioimage data analysis workflows = advanced components and methods /
LDR:03195nmm a2200349 a 4500 001 2303763
003 DE-He213
005 20220928203751.0
006 m d
007 cr nn 008maaau
008 230409s2022 sz s 0 eng d
020 $a 9783030763947 $q (electronic bk.)
020 $a 9783030763930 $q (paper)
024 7 $a 10.1007/978-3-030-76394-7 $2 doi
035 $a 978-3-030-76394-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QH207 $b .B56 2022
072 7 $a PSF $2 bicssc
072 7 $a SCI049000 $2 bisacsh
072 7 $a PSF $2 thema
082 0 4 $a 570.282 $2 23
090 $a QH207 $b .B615 2022
245 0 0 $a Bioimage data analysis workflows $h [electronic resource] : $b advanced components and methods / $c edited by Kota Miura, Natasa Sladoje.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a x, 212 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Learning materials in biosciences, $x 2509-6133
505 0 $a Introduction -- Batch Processing Methods in ImageJ -- Python: Data Handling, Analysis and Plotting -- Building a Bioimage Analysis Workflow Using Deep Learning -- GPU-Accelerating ImageJ Macro Image Processing Workflows Using CLIJ -- How to Do the Deconstruction of Bioimage Analysis Workflows: A Case Study with SurfCut -- i.2.i. with the (Fruit) Fly: Quantifying Position Effect Variegation in Drosophila Melanogaster -- A MATLAB Pipeline for Spatiotemporal Quantification of Monolayer Cell Migration.
506 0 $a Open Access
520 $a This open access textbook aims at providing detailed explanations on how to design and construct image analysis workflows to successfully conduct bioimage analysis. Addressing the main challenges in image data analysis, where acquisition by powerful imaging devices results in very large amounts of collected image data, the book discusses techniques relying on batch and GPU programming, as well as on powerful deep learning-based algorithms. In addition, downstream data processing techniques are introduced, such as Python libraries for data organization, plotting, and visualizations. Finally, by studying the way individual unique ideas are implemented in the workflows, readers are carefully guided through how the parameters driving biological systems are revealed by analyzing image data. These studies include segmentation of plant tissue epidermis, analysis of the spatial pattern of the eye development in fruit flies, and the analysis of collective cell migration dynamics. The presented content extends the Bioimage Data Analysis Workflows textbook (Miura, Sladoje, 2020), published in this same series, with new contributions and advanced material, while preserving the well-appreciated pedagogical approach adopted and promoted during the training schools for bioimage analysis organized within NEUBIAS - the Network of European Bioimage Analysts. This textbook is intended for advanced students in various fields of the life sciences and biomedicine, as well as staff scientists and faculty members who conduct regular quantitative analyses of microscopy images.
650 0 $a Microscopy $x Technique. $3 600574
650 0 $a Electron microscopy. $3 598915
650 1 4 $a Cell Biology. $3 892383
650 2 4 $a Computational and Systems Biology. $3 3531279
650 2 4 $a Biological Imaging. $3 3603778
700 1 $a Miura, Kota. $3 3444249
700 1 $a Sladoje, Natasa. $3 3444250
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Learning materials in biosciences. $3 3135860
856 4 0 $u https://doi.org/10.1007/978-3-030-76394-7
950 $a Biomedical and Life Sciences (SpringerNature-11642)