Standard and Super-Resolution Bioimaging Data Analysis

A Primer
 
 
John Wiley & Sons Inc (Verlag)
  • erschienen am 12. Oktober 2017
  • |
  • 312 Seiten
 
E-Book | PDF mit Adobe DRM | Systemvoraussetzungen
978-1-119-09692-4 (ISBN)
 
A comprehensive guide to the art and science of bioimaging data acquisition, processing and analysis
Standard and Super-Resolution Bioimaging Data Analysis gets newcomers to bioimage data analysis quickly up to speed on the mathematics, statistics, computing hardware and acquisition technologies required to correctly process and document data.
The past quarter century has seen remarkable progress in the field of light microscopy for biomedical science, with new imaging technologies coming on the market at an almost annual basis. Most of the data generated by these systems is image-based, and there is a significant increase in the content and throughput of these imaging systems. This, in turn, has resulted in a shift in the literature on biomedical research from descriptive to highly-quantitative. Standard and Super-Resolution Bioimaging Data Analysis satisfies the demand among students and research scientists for introductory guides to the tools for parsing and processing image data. Extremely well illustrated and including numerous examples, it clearly and accessibly explains what image data is and how to process and document it, as well as the current resources and standards in the field.
* A comprehensive guide to the tools for parsing and processing image data and the resources and industry standards for the biological and biomedical sciences
* Takes a practical approach to image analysis to assist scientists in ensuring scientific data are robust and reliable
* Covers fundamental principles in such a way as to give beginners a sound scientific base upon which to build
* Ideally suited for advanced students having only limited knowledge of the mathematics, statistics and computing required for image data analysis
An entry-level text written for students and practitioners in the bioscience community, Standard and Super-Resolution Bioimaging Data Analysis de-mythologises the vast array of image analysis modalities which have come online over the past decade while schooling beginners in bioimaging principles, mathematics, technologies and standards.
1. Auflage
  • Englisch
  • Newark
  • |
  • Großbritannien
  • Für Beruf und Forschung
  • 15,51 MB
978-1-119-09692-4 (9781119096924)
1119096928 (1119096928)
weitere Ausgaben werden ermittelt
ANN WHEELER, PhD, is Head of the Advanced Imaging Resource at the MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, UK.
RICARDO HENRIQUES, PhD, is Head of the Quantitative Imaging and NanoBioPhysics research group at the MRC Laboratory for Molecular Cell Biology, University College London, UK.
List of contibutors :
Forward
Peter O'Toole
1. An introduction to biomedical image data and data processing: from sub-cellular to tissue.
Anne Wheeler
2. Quantification 2 and 3D of image data (selecting, counting and measuring) (RH invites)
Jean-Yves Tinevez
3. Segmentation of image data for quantification
Jean-Yves Tinevez
4. Quantifying using association using Forster resonance energy tranfer
Stephan Terjung
5. Quantifying Photoperturbation techquies
Stephan Terjung
6. Correlations and colocalisation
Dylan Owen
7. Live cell imaging: tracking cell movement and development
Claire Wells and Mario
8. Super-resolution data analysis
Graeme Ball and Debbie Keller
9. Analysis of large datasets and automation
Ahmed Fetit
10. Presenting, documenting and storing bioimage data.
Ann Wheeler and Seb Besson.
Epilogue
Kota Muira
Index

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