Bioimage Data Analysis Workflows [[electronic resource] /] / edited by Kota Miura, Nataša Sladoje |
Autore | Miura Kota |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
Descrizione fisica | 1 online resource (170) |
Disciplina | 610.28 |
Collana | Learning Materials in Biosciences |
Soggetto topico |
Biomedical engineering
Cell biology Bioinformatics Biology—Technique Systems biology Biological systems Biomedical Engineering/Biotechnology Cell Biology Computational Biology/Bioinformatics Biological Techniques Systems Biology |
Soggetto non controllato |
Medicine
Biomedical engineering Cell biology Bioinformatics Biology—Technique Systems biology Biological systems |
ISBN | 3-030-22386-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Workflows and Components of Bioimage Analysis -- Measurements of Intensity Dynamics at the Periphery of the Nucleus -- 3D Quantitative Colocalisation Analysis -- The NEMO Dots Assembly: Single-Particle Tracking and Analysis -- Introduction to MATLAB: Image Analysis & Brownian Motion -- Resolving the process of Clathrin Mediated Endocytosis Using Correlative Light & Electron Microscopy (CLEM). |
Record Nr. | UNINA-9910367258203321 |
Miura Kota | ||
Cham, : Springer Nature, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Bioimage Data Analysis Workflows ‒ Advanced Components and Methods / / edited by Kota Miura, Nataša Sladoje |
Autore | Miura Kota |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (X, 212 p. 265 illus. in color.) |
Disciplina | 571.6 |
Collana | Learning Materials in Biosciences |
Soggetto topico |
Cytology
Bioinformatics Imaging systems in biology Cell Biology Computational and Systems Biology Biological Imaging Microscòpia electrònica |
Soggetto genere / forma | Llibres electrònics |
Soggetto non controllato |
Analyzing Image Data in Biology
Building a Bioimage Analysis Workflow Computational Analysis Chosing the Correct Components for Given Biological Questions Data Handling and Plotting Deep Learning Fast Computation GPU-Acceleration Handling Biological data Machine Learning Phyton Processing Language Understanding Bioimage Analysis Software |
ISBN | 3-030-76394-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNINA-9910597155503321 |
Miura Kota | ||
Cham, : Springer Nature, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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