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Biomedical Image Analysis Recipes in MATLAB: For Life Scientists and Engineers [Kietas viršelis]

(City University London)
  • Formatas: Hardback, 416 pages, aukštis x plotis x storis: 252x178x25 mm, weight: 953 g
  • Išleidimo metai: 12-Jun-2015
  • Leidėjas: Wiley-Blackwell
  • ISBN-10: 1118657551
  • ISBN-13: 9781118657553
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 416 pages, aukštis x plotis x storis: 252x178x25 mm, weight: 953 g
  • Išleidimo metai: 12-Jun-2015
  • Leidėjas: Wiley-Blackwell
  • ISBN-10: 1118657551
  • ISBN-13: 9781118657553
Kitos knygos pagal šią temą:
As its title suggests, this innovative book has been written for life scientists needing to analyse their data sets, and programmers, wanting a better understanding of the types of experimental images life scientists investigate on a regular basis. Each chapter presents one self-contained biomedical experiment to be analysed. Part I of the book presents its two basic ingredients: essential concepts of image analysis and Matlab. In Part II, algorithms and techniques are shown as series of ‘recipes’ or solved examples that show how specific techniques are applied to a biomedical experiments like Western Blots, Histology, Scratch Wound Assays and Fluoresence. Each recipe begins with simple techniques that gradually advance in complexity. Part III presents some advanced techniques for the generation of publication quality figures. The book does not assume any computational or mathematical expertise.

  • A practical, clearly-written introduction to biomedical image analysis that provides the tools for life scientists and engineers to use when solving problems in their own laboratories.
  • Presents the basic concepts of MATLAB® software and uses it throughout to show how it can execute flexible and powerful image analysis programs tailored to the specific needs of the problem.
  • Within the context of four biomedical cases, it shows algorithms and techniques as series of ‘recipes’, or solved examples that show how a particular technique is applied in a specific experiment.
  • Companion website containing example datasets, MATLAB® files and figures from the book.
Preface, vii
Acknowledgements, ix
About the Companion Website, xi
1 The Basic Ingredients, 1(44)
1.1 The Matlab Environment,
1(2)
1.2 Introduction to Matlab,
3(4)
1.3 Operations with Matrices,
7(3)
1.4 Combining Matrices,
10(3)
1.5 Addressing a Matrix,
13(4)
1.6 Mathematical Functions and Graphical Display,
17(6)
1.7 Random Numbers,
23(3)
1.8 Statistics in Matlab,
26(3)
1.9 Displaying Two-Dimensional Matrices,
29(8)
1.10 Scripts, Functions and Shortcuts,
37(6)
1.11 Using Help,
43(2)
2 Introduction to Images, 45(26)
2.1 An Image as a Matrix,
45(1)
2.2 Reading Images,
46(3)
2.3 Displaying Images,
49(5)
2.4 Colormap,
54(5)
2.5 Thresholding and Manipulating Values of Images,
59(9)
2.6 Converting Images into Doubles,
68(1)
2.7 Save Your Code and Data,
69(2)
3 Introduction to Colour, 71(8)
3.1 Mixing and Displaying Colours,
71(8)
4 Western Blots, 79(56)
4.1 Recipe 1: Many Ways to Display a Western Blot,
80(13)
4.2 Recipe 2: Investigating the Numbers That Make a Western Blot,
93(4)
4.3 Recipe 3: Image Histograms,
97(7)
4.4 Recipe 4: Transforming an Image of a Western Blot,
104(7)
4.5 Recipe 5: Quantification of the Data,
111(10)
4.6 Recipe 6: Investigating Position of Bands,
121(14)
5 Scratch Wound Assays, 135(80)
5.1 Analysis of Scratch Wound Assays,
135(4)
5.2 Recipe 1: Low Pass Filtering Scratch Wound Assays in the Spatial Domain,
139(4)
5.3 Recipe 2: High Pass Filtering Scratch Wound Assays in the Spatial Domain,
143(11)
5.4 Recipe 3: Combining Filters and Morphological Operations,
154(7)
5.5 Recipe 4: Sensitivy to Thresholds and Hysteresis Thresholding,
161(6)
5.6 Recipe 5: Morphological Operators,
167(11)
5.7 Recipe 6: Measuring Distances Between Cellular Boundaries,
178(9)
5.8 Recipe 7: Introduction to Fourier Analysis,
187(14)
5.9 Recipe 8: Filtering Scratch Wound Assays in the Fourier Domain,
201(12)
References,
213(2)
6 Bright Field Microscopy, 215(76)
6.1 Recipe 1: Changing the Brightness and Contrast of an Image,
215(9)
6.2 Recipe 2: Shading Correction: Estimation of Shading Component as a Plane,
224(11)
6.3 Recipe 3: Estimation of Shading Component with Filters, Morphological Operators and Envelopes,
235(12)
6.4 Recipe 4: Mosaicking and Stitching,
247(14)
6.5 Recipe 5: Pixel Intensity and Histograms in Immunohistochemistry,
261(10)
6.6 Recipe 6: Hue-Saturation-Value,
271(7)
6.7 Recipe 7: Multidimensional Histograms,
278(11)
Reference,
289(2)
7 Fluorescence Microscopy, 291(52)
7.1 Recipe 1: Separating and Combining Colour Channels,
294(4)
7.2 Recipe 2: Investigating the Scaling of Values,
298(3)
7.3 Recipe 3: Automatic Threshold Selection,
301(3)
7.4 Recipe 4: Measuring Absolute and Relative Areas,
304(1)
7.5 Recipe 5: Counting Nuclei,
305(3)
7.6 Recipe 6: Quantification of Region Properties Beyond the Area,
308(2)
7.7 Recipe 7: Dividing an Image into Regions,
310(6)
7.8 Recipe 8: Batch Processing and Montages,
316(11)
7.9 Recipe 9: A Myriad of Measurements,
327(14)
References,
341(2)
8 Creating Publication-Quality Figures from Matlab, 343(58)
8.1 Recipe 1: Modifying the Characteristics of the Figures,
344(8)
8.2 Recipe 2: Numerous Plots in One Figure,
352(10)
8.3 Recipe 3: Three-Dimensional Ribbons with Different Annotations,
362(16)
8.4 Recipe 4: Three-Dimensional Graphics,
378(10)
8.5 Recipe 5: Projections,
388(3)
8.6 Recipe 6: Four-Dimensional Data Set Explored,
391(10)
Index, 401
Constantino Carlos Reyes-Aldasoro (BSEE UNAM, Mexico, MSc Imperial College London, UK, PhD Warwick, UK) is an interdisciplinary scientist with skills that span from microscopy to image analysis of biomedical data sets to advanced computer programming. His teaching experience is also wide ranging from Engineering, Physics and Computing to Medicine and Radiology. His research concentrates on Biomedical Image Analysis of Cancer, Microcirculation and Inflammation. He has published numerous journal/conference papers in both Biological and Engineering fields, which have been cited in more than 500 publications. He is a senior member of the Institute of Electrical and Electronics Engineers and executive committee member of the British Association for Cancer Research.