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Microscope Image Processing [Kietas viršelis]

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Edited by Qiang Wu (Soft Imaging LLC, Houston, TX, USA), Edited by Kenneth Castleman (President, Advanced Digital Imaging Research (ADIR), TX, USA), Edited by Fatima Merchant (Associate Professor, Computer Engineering Technology and Computational Health Informatics, Houston, TX, USA)

Formatas: Hardback, 576 pages, aukštis x plotis: 235x191 mm, weight: 1160 g
Išleidimo metai: 03-Jun-2008
Leidėjas: Academic Press Inc
ISBN-10: 012372578X
ISBN-13: 9780123725783

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Formatas: Hardback, 576 pages, aukštis x plotis: 235x191 mm, weight: 1160 g
Išleidimo metai: 03-Jun-2008
Leidėjas: Academic Press Inc
ISBN-10: 012372578X
ISBN-13: 9780123725783

Kitos knygos pagal šią temą:

Pastovi nuoroda: https://www.kriso.lt/db/9780123725783.html

Raktažodžiai:

Digital image processing, an integral part of microscopy, is increasingly important to the fields of medicine and scientific research. This book provides a unique one-stop reference on the theory, technique, and applications of this technology.

Written by leading experts in the field, this book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms. It contains in-depth analysis of methods coupled with the results of specific real-world experiments. Microscope Image Processing covers image digitization and display, object measurement and classification, autofocusing, and structured illumination.

Key Features:

• Detailed descriptions of many leading-edge methods and algorithms
• In-depth analysis of the method and experimental results, taken from real-life examples
• Emphasis on computational and algorithmic aspects of microscope image processing
• Advanced material on geometric, morphological, and wavelet image processing, fluorescence, three-dimensional and time-lapse microscopy, microscope image enhancement, MultiSpectral imaging, and image data management

This book is of interest to all scientists, engineers, clinicians, post-graduate fellows, and graduate students working in the fields of biology, medicine, chemistry, pharmacology, and other related fields. Anyone who uses microscopes in their work and needs to understand the methodologies and capabilities of the latest digital image processing techniques will find this book invaluable.

* Presents a unique practical perspective of state-of-the-art microcope image processing and the development of specialized algorithms.
* Each chapter includes in-depth analysis of methods coupled with the results of specific real-world experiments.
* Co-edited by Kenneth R. Castleman, world-renowned pioneer in digital image processing and author of two seminal textbooks on the subject.

Recenzijos

"Such a book is much-needed!!!" --Al Bovik, ECE Dept. Head, Univ. of Texas; Editor of Handbook of Image and Video Processing (AP 2005)

"My impression is that this book would be very useful and approachable to microscopists/biologists and to image processing specialists working with them. ... I would suspect a high market potential." --Jeff Pierce, PhD, R&D Staff Member, Image Science and Machine Vision Group, Oak Ridge National Lab

"The authors propose to write a book...[ with] a good balance between theoretical framework and practical applications.... The authors are certainly qualified for the task. In particular, Dr. Castleman's expertise and recognition in this arena will likely evoke good contributions from leading experts in the field." --Dr. Alberto Goldszal, U. of PA Health System, Dir. of Medical Informatics, Dept. of Radiology

"I believe [ there is] a large community who will likely find a book like this to be of technical relevance to their work and a good reference.... The concept of focusing on the image processing applications in microscopy is good and i do think that this will make the resource valuable." --Kenneth Tobin, Oak Ridge Nat'l Lab, Group Leader/Corporate Research Fellow

"It would be very helpful to have a practical guide to digital image processing since much of the material is currently embedded in software program guides available only with the purchase of high end graphics programs or in technical journals not generally read by biologists, biochemists, and other emerging users of advanced optical imaging techniques. The technical soundness of the proposal is well thought-out." --Dr. Paul Kulesa, Dir. of Imaging, Stowers Inst. for Medical Research

Daugiau informacijos

No other book offers such a unique one-stop reference in microscope image processing.

Foreword

xxi

Preface

xxiii

Acknowledgments

xxv

Introduction

(10)

Kenneth R. Castleman

Ian T. Young

The Microscope and Image Processing

(1)

Scope of This Book

(2)

Our Approach

(4)

The Four Types of Images

(1)

Optical Image

(1)

Continuous Image

(1)

Digital Image

(1)

Displayed Image

(1)

The Result

(1)

Analytic Functions

(1)

The Sampling Theorem

(1)

The Challenge

(1)

Nomenclature

(1)

Summary of Important Points

(3)

Fundamentals of Microscopy

(16)

Kenneth R. Castleman

Ian T. Young

Origins of the Microscope

(1)

Optical Imaging

(3)

Image Formation by a Lens

(1)

Imaging a Point Source

(1)

Focal Length

(1)

Numerical Aperture

(1)

Lens Shape

(1)

Diffraction-Limited Optical Systems

(1)

Linear System Analysis

(1)

Incoherent Illumination

(2)

The Point Spread Function

(1)

The Optical Transfer Function

(1)

Coherent Illumination

(2)

The Coherent Point Spread Function

(1)

The Coherent Optical Transfer Function

(1)

Resolution

(2)

Abbe Distance

(1)

Rayleigh Distance

(1)

Size Calculations

(1)

Aberration

(1)

Calibration

(2)

Spatial Calibration

(1)

Photometric Calibration

(1)

Summary of Important Points

(3)

Image Digitization

(12)

Kenneth R. Castleman

Introduction

(1)

Resolution

(1)

Sampling

(4)

Interpolation

(2)

Aliasing

(1)

Noise

(1)

Shading

(1)

Photometry

(1)

Geometric Distortion

(1)

Complete System Design

(2)

Cumulative Resolution

(1)

Design Rules of Thumb

(1)

Pixel Spacing

(1)

Resolution

(1)

Noise

(1)

Photometry

(1)

Distortion

(1)

Summary of Important Points

(2)

Image Display

(12)

Kenneth R. Castleman

Introduction

(1)

Display Characteristics

(4)

Displayed Image Size

(1)

Aspect Ratio

(1)

Photometric Resolution

(1)

Grayscale Linearity

(1)

Low-Frequency Response

(1)

Pixel Polarity

(1)

Pixel Interaction

(1)

High-Frequency Response

(1)

The Spot-Spacing Compromise

(1)

Noise Considerations

(1)

Volatile Displays

(1)

Sampling for Display Purposes

(2)

Oversampling

(1)

Resampling

(1)

Display Calibration

(1)

Summary of Important Points

(4)

Geometric Transformations

(8)

Kenneth R. Castleman

Introduction

(1)

Implementation

(1)

Gray-Level Interpolation

(3)

Nearest-Neighbor Interpolation

(1)

Bilinear Interpolation

(1)

Bicubic Interpolation

(1)

Higher-Order Interpolation

(1)

Spatial Transformation

(1)

Control-Grid Mapping

(1)

Applications

(1)

Distortion Removal

(1)

Image Registration

(1)

Stitching

(1)

Summary of Important Points

(2)

Image Enhancement

(20)

Yu-Ping Wang

Qiang Wu

Kenneth R. Castleman

Introduction

(1)

Spatial Domain Methods

(8)

Contrast Stretching

(1)

Clipping and Thresholding

(1)

Image Subtraction and Averaging

(1)

Histogram Equalization

(1)

Histogram Specification

(1)

Spatial Filtering

(2)

Directional and Steerable Filtering

(2)

Median Filtering

(1)

Fourier Transform Methods

(4)

Wiener Filtering and Wiener Deconvolution

(2)

Deconvolution Using a Least-Squares Approach

(1)

Low-Pass Filtering in the Fourier Domain

(1)

High-Pass Filtering in the Fourier Domain

(1)

Wavelet Transform Methods

(2)

Wavelet Thresholding

(1)

Differential Wavelet Transform and Multiscale Pointwise Product

(1)

Color Image Enhancement

(2)

Pseudo-Color Transformations

(1)

Color Image Smoothing

(1)

Color Image Sharpening

(1)

Summary of Important Points

(3)

Wavelet Image Processing

(34)

Hyohoon Choi

Alan C. Bovik

Introduction

(4)

Linear Transformations

(1)

Short-Time Fourier Transform and Wavelet Transform

(2)

Wavelet Transforms

(2)

Continuous Wavelet Transform

(1)

Wavelet Series Expansion

(1)

Haar Wavelet Functions

(1)

Multiresolution Analysis

(3)

Multiresolution and Scaling Function

(1)

Scaling Functions and Wavelets

(1)

Discrete Wavelet Transform

(14)

Decomposition

(3)

Reconstruction

(1)

Filter Banks

(1)

Two-Channel Subband Coding

(1)

Orthogonal Filter Design

(2)

Compact Support

(1)

Biorthogonal Wavelet Transforms

(1)

Biorthogonal Filter Banks

(2)

Examples of Biorthogonal Wavelets

(1)

Lifting Schemes

100

(1)

Biorthogonal Wavelet Design

100

(1)

Wavelet Transform Using Lifting

101

(1)

Two-Dimensional Discrete Wavelet Transform

102

(5)

Two-Dimensional Wavelet Bases

102

(1)

Forward Transform

103

(2)

Inverse Transform

105

(1)

Two-Dimensional Biorthogonal Wavelets

105

(1)

Overcomplete Transforms

106

(1)

Examples

107

(1)

Image Compression

107

(1)

Image Enhancement

107

(1)

Extended Depth-of-Field by Wavelet Image Fusion

108

(1)

Summary of Important Points

108

(5)

Morphological Image Processing

113

(46)

Roberto A. Lotufo

Romaric Audigier

Andre V. Saude

Rubens C. Machado

Introduction

113

(2)

Binary Morphology

115

(12)

Binary Erosion and Dilation

115

(1)

Binary Opening and Closing

116

(2)

Binary Morphological Reconstruction from Markers

118

(1)

Connectivity

118

(1)

Markers

119

(1)

The Edge-Off Operation

120

(1)

Reconstruction from Opening

120

(2)

Area Opening and Closing

122

(1)

Skeletonization

123

(4)

Grayscale Operations

127

(11)

Threshold Decomposition

128

(1)

Erosion and Dilation

129

(2)

Gradient

131

(1)

Opening and Closing

131

(1)

Top-Hat Filtering

131

(2)

Alternating Sequential Filters

133

(1)

Component Filters and Grayscale Morphological Reconstruction

134

(1)

Morphological Reconstruction

135

(1)

Alternating Sequential Component Filters

135

(1)

Grayscale Area Opening and Closing

135

(1)

Edge-Off Operator

136

(1)

h-Maxima and h-Minima Operations

137

(1)

Regional Maxima and Minima

137

(1)

Regional Extrema as Markers

138

(1)

Watershed Segmentation

138

(16)

Classical Watershed Transform

139

(1)

Filtering the Minima

140

(3)

Texture Detection

143

(2)

Watershed from Markers

145

(1)

Segmentation of Overlapped Convex Cells

146

(2)

Inner and Outer Markers

148

(3)

Hierarchical Watershed

151

(1)

Watershed Transform Algorithms

152

(2)

Summary of Important Points

154

(5)

Image Segmentation

159

(36)

Qiang Wu

Kenneth R. Castleman

Introduction

159

(1)

Pixel Connectivity

160

(1)

Region-Based Segmentation

160

(16)

Thresholding

160

(1)

Global Thresholding

161

(1)

Adaptive Thresholding

162

(1)

Threshold Selection

163

(2)

Thresholding Circular Spots

165

(2)

Thresholding Noncircular and Noisy Spots

167

(2)

Morphological Processing

169

(2)

Hole Filling

171

(1)

Border-Object Removal

171

(1)

Separation of Touching Objects

172

(1)

The Watershed Algorithm

172

(1)

Region Growing

173

(2)

Region Splitting

175

(1)

Boundary-Based Segmentation

176

(4)

Boundaries and Edges

176

(1)

Boundary Tracking Based on Maximum Gradient Magnitude

177

(1)

Boundary Finding Based on Gradient Image Thresholding

178

(1)

Boundary Finding Based on Laplacian Image Thresholding

179

(1)

Boundary Finding Based on Edge Detection and Linking

180

(1)

Edge Detection

180

(3)

Edge Linking and Boundary Refinement

183

(5)

Encoding Segmented Images

188

(1)

Object Label Map

189

(1)

Boundary Chain Code

189

(1)

Summary of Important Points

190

(5)

Object Measurement

195

(26)

Fatima A. Merchant

Shishir K. Shah

Kenneth R. Castleman

Introduction

195

(1)

Measures for Binary Objects

196

(13)

Size Measures

196

(1)

Area

196

(1)

Perimeter

196

(1)

Area and Perimeter of a Polygon

197

(2)

Pose Measures

199

(1)

Centroid

199

(1)

Orientation

200

(1)

Shape Measures

200

(1)

Thinness Ratio

201

(1)

Rectangularity

201

(1)

Circularity

201

(2)

Euler Number

203

(1)

Moments

203

(2)

Elongation

205

(1)

Shape Descriptors

206

(1)

Differential Chain Code

206

(1)

Fourier Descriptors

206

(1)

Medial Axis Transform

207

(1)

Graph Representations

208

(1)

Distance Measures

209

(1)

Euclidean Distance

209

(1)

City-Block Distance

209

(1)

Chessboard Distance

210

(1)

Gray-Level Object Measures

210

(5)

Intensity Measures

210

(1)

Integrated Optical Intensity

210

(1)

Average Optical Intensity

210

(1)

Contrast

211

(1)

Histogram Measures

211

(1)

Mean Gray Level

211

(1)

Standard Deviation of Gray Levels

211

(1)

Skew

212

(1)

Entropy

212

(1)

Energy

212

(1)

Texture Measures

212

(1)

Statistical Texture Measures

213

(1)

Power Spectrum Features

214

(1)

Object Measurement Considerations

215

(1)

Summary of Important Points

215

(6)

Object Classification

221

(26)

Kenneth R. Castleman

Qiang Wu

Introduction

221

(1)

The Classification Process

221

(1)

Bayes' Rule

222

(1)

The Single-Feature, Two-Class Case

222

(3)

A Priori Probabilities

223

(1)

Conditional Probabilities

223

(1)

Bayes' Theorem

224

(1)

The Three-Feature, Three-Class Case

225

(7)

Bayes Classifier

226

(1)

Prior Probabilities

226

(1)

Classifier Training

227

(1)

The Mean Vector

227

(1)

Covariance

228

(1)

Variance and Standard Deviation

228

(1)

Correlation

228

(1)

The Probability Density Function

229

(1)

Classification

229

(1)

Log Likelihoods

229

(1)

Mahalanobis Distance Classifier

230

(1)

Uncorrelated Features

230

(1)

A Numerical Example

231

(1)

Classifier Performance

232

(2)

The Confusion Matrix

233

(1)

Bayes Risk

234

(1)

Minimum-Risk Classifier

234

(1)

Relationships Among Bayes Classifiers

235

(1)

The Choice of a Classifier

235

(3)

Subclassing

236

(1)

Feature Normalization

236

(2)

Nonparametric Classifiers

238

(2)

Nearest-Neighbor Classifiers

239

(1)

Feature Selection

240

(3)

Feature Reduction

240

(1)

Principal Component Analysis

241

(1)

Linear Discriminant Analysis

242

(1)

Neural Networks

243

(1)

Summary of Important Points

244

(3)

Fluorescence Imaging

247

(52)

Fatima A. Merchant

Ammasi Periasamy

Introduction

247

(1)

Basics of Fluorescence Imaging

248

(2)

Image Formation in Fluorescence Imaging

249

(1)

Optics in Fluorescence Imaging

250

(1)

Limitations in Fluorescence Imaging

251

(5)

Instrumentation-Based Aberrations

251

(1)

Photon Shot Noise

251

(1)

Dark Current

252

(1)

Auxiliary Noise Sources

252

(1)

Quantization Noise

253

(1)

Other Noise Sources

253

(1)

Sample-Based Aberrations

253

(1)

Photobleaching

253

(1)

Autofluorescence

254

(1)

Absorption and Scattering

255

(1)

Sample and Instrumentation Handling-Based Aberrations

255

(1)

Image Corrections in Fluorescence Microscopy

256

(10)

Background Shading Correction

256

(1)

Correction Using the Recorded Image

257

(1)

Correction Using Calibration Images

258

(1)

Two-Image Calibration

258

(1)

Background Subtraction

258

(1)

Correction Using Surface Fitting

259

(2)

Histogram-Based Background Correction

261

(1)

Other Approaches for Background Correction

261

(1)

Autofluorescence Correction

261

(1)

Spectral Overlap Correction

262

(1)

Photobleaching Correction

262

(3)

Correction of Fluorescence Attenuation in Depth

265

(1)

Quantifying Fluorescence

266

(1)

Fluorescence Intensity Versus Fluorophore Concentration

266

(1)

Fluorescence Imaging Techniques

267

(23)

Immunofluorescence

267

(3)

Fluorescence in situ Hybridization (FISH)

270

(1)

Quantitative Colocalization Analysis

271

(4)

Fluorescence Ratio Imaging (RI)

275

(2)

Fluorescence Resonance Energy Transfer (FRET)

277

(7)

Fluorescence Lifetime Imaging (FLIM)

284

(2)

Fluorescence Recovery After Photobleaching (FRAP)

286

(2)

Total Internal Reflectance Fluorescence Microscopy (TIRFM)

288

(1)

Fluorescence Correlation Spectroscopy (FCS)

289

(1)

Summary of Important Points

290

(9)

Multispectral Imaging

299

(30)

James Thigpen

Shishir K. Shah

Introduction

299

(1)

Principles of Multispectral Imaging

300

(6)

Spectroscopy

301

(1)

Imaging

302

(2)

Multispectral Microscopy

304

(1)

Spectral Image Acquisition Methods

304

(1)

Wavelength-Scan Methods

304

(1)

Spatial-Scan Methods

305

(1)

Time-Scan Methods

306

(1)

Multispectral Image Processing

306

(17)

Calibration for Multispectral Image Acquisition

307

(5)

Spectral Unmixing

312

(3)

Fluorescence Unmixing

315

(2)

Brightfield Unmixing

317

(1)

Unsupervised Unmixing

318

(3)

Spectral Image Segmentation

321

(1)

Combining Segmentation with Classification

322

(1)

M-FISH Pixel Classification

322

(1)

Summary of Important Points

323

(6)

Three-Dimensional Imaging

329

(72)

Fatima A. Merchant

Introduction

329

(1)

Image Acquisition

329

(5)

Wide-Field Three-Dimensional Microscopy

330

(1)

Confocal Microscopy

330

(1)

Multiphoton Microscopy

331

(2)

Other Three-Dimensional Microscopy Techniques

333

(1)

Three-Dimensional Image Data

334

(1)

Three-Dimensional Image Representation

334

(1)

Three-Dimensional Image Notation

334

(1)

Image Restoration and Deblurring

335

(20)

The Point Spread Function

335

(2)

Theoretical Model of the Point Spread Function

337

(1)

Models for Microscope Image Formation

338

(1)

Poisson Noise

338

(1)

Gaussian Noise

338

(1)

Algorithms for Deblurring and Restoration

339

(1)

No-Neighbor Methods

339

(1)

Nearest-Neighbor Method

340

(2)

Linear Methods

342

(4)

Nonlinear Methods

346

(3)

Maximum-Likelihood Restoration

349

(4)

Blind Deconvolution

353

(1)

Interpretation of Deconvolved Images

354

(1)

Commercial Deconvolution Packages

354

(1)

Image Fusion

355

(1)

Three-Dimensional Image Processing

356

(1)

Geometric Transformations

356

(1)

Pointwise Operations

357

(1)

Histogram Operations

357

(2)

Filtering

359

(3)

Linear Filters

359

(1)

Finite Impulse Response (FIR) Filter

359

(1)

Nonlinear Filters

360

(1)

Median Filter

360

(1)

Weighted Median Filter

360

(1)

Minimum and Maximum Filters

361

(1)

α-Trimmed Mean Filters

361

(1)

Edge-Detection Filters

361

(1)

Morphological Operators

362

(3)

Binary Morphology

363

(1)

Grayscale Morphology

364

(1)

Segmentation

365

(10)

Point-Based Segmentation

366

(1)

Edge-Based Segmentation

367

(2)

Region-Based Segmentation

369

(1)

Connectivity

369

(1)

Region Growing

370

(1)

Region Splitting and Region Merging

370

(1)

Deformable Models

371

(1)

Three-Dimensional Segmentation Methods in the Literature

372

(3)

Comparing Three-Dimensional Images

375

(1)

Registration

375

(1)

Object Measurements in Three Dimensions

376

(6)

Euler Number

376

(1)

Bounding Box

377

(1)

Center of Mass

377

(1)

Surface Area Estimation

378

(1)

Length Estimation

379

(1)

Curvature Estimation

380

(1)

Surface Triangulation Method

381

(1)

Cross-Patch Method

381

(1)

Volume Estimation

381

(1)

Texture

382

(1)

Three-Dimensional Image Display

382

(7)

Montage

382

(2)

Projected Images

384

(1)

Voxel Projection

384

(1)

Ray Casting

384

(1)

Surface and Volume Rendering

385

(1)

Surface Rendering

385

(1)

Volume Rendering

386

(1)

Stereo Pairs

387

(1)

Color Anaglyphs

388

(1)

Animations

388

(1)

Summary of Important Points

389

(12)

Time-Lapse Imaging

401

(40)

Erik Meijering

Ihor Smal

Oleh Dzyubachyk

Jean-Christophe Olivo-Marin

Introduction

401

(2)

Image Acquisition

403

(8)

Microscope Setup

404

(1)

Spatial Dimensionality

405

(5)

Temporal Resolution

410

(1)

Image Preprocessing

411

(3)

Image Denoising

411

(1)

Image Deconvolution

412

(1)

Image Registration

413

(1)

Image Analysis

414

(6)

Cell Tracking

415

(1)

Cell Segmentation

415

(2)

Cell Association

417

(1)

Particle Tracking

417

(1)

Particle Detection

418

(1)

Particle Association

419

(1)

Trajectory Analysis

420

(3)

Geometry Measurements

421

(1)

Diffusivity Measurements

421

(2)

Velocity Measurements

423

(1)

Sample Algorithms

423

(9)

Cell Tracking

424

(3)

Particle Tracking

427

(5)

Summary of Important Points

432

(9)

Autofocusing

441

(28)

Qiang Wu

Introduction

441

(1)

Autofocus Methods

441

(1)

Passive Autofocusing

442

(1)

Principles of Microscope Autofocusing

442

(6)

Fluorescence and Brightfield Autofocusing

443

(1)

Autofocus Functions

444

(1)

Autofocus Function Sampling and Approximation

445

(2)

Gaussian Fitting

447

(1)

Parabola Fitting

447

(1)

Finding the In-Focus Imaging Position

448

(1)

Multiresolution Autofocusing

448

(4)

Multiresolution Image Representations

449

(2)

Wavelet-Based Multiresolution Autofocus Functions

451

(1)

Multiresolution Search for In-Focus Position

451

(1)

Autofocusing for Scanning Microscopy

452

(2)

Extended Depth-of-Field Microscope Imaging

454

(8)

Digital Image Fusion

455

(1)

Pixel-Based Image Fusion

456

(1)

Neighborhood-Based Image Fusion

457

(1)

Multiresolution Image Fusion

458

(1)

Noise and Artifact Control in Image Fusion

459

(1)

Multiscale Pointwise Product

460

(1)

Consistency Checking

461

(1)

Reassignment

462

(1)

Examples

462

(1)

Summary of Important Points

462

(7)

Structured Illumination Imaging

469

(30)

Leo G. Krzewina

Myung K. Kim

Introduction

469

(3)

Conventional Light Microscope

469

(1)

Sectioning the Specimen

470

(1)

Structured Illumination

471

(1)

Linear SIM Instrumentation

472

(1)

Spatial Light Modulator

473

(1)

The Process of Structured Illumination Imaging

473

(6)

Extended-Depth-of-Field Image

475

(1)

SIM for Optical Sectioning

475

(2)

Sectioning Strength

477

(2)

Limitations of Optical Sectioning with SIM

479

(7)

Artifact Reduction via Image Processing

480

(1)

Intensity Normalization

480

(2)

Grid Position Error

482

(2)

Statistical Waveform Compensation

484

(1)

Parameter Optimization

485

(1)

Color Structured Illumination

486

(5)

Processing Technique

487

(1)

Chromatic Aberration

488

(2)

SIM Example

490

(1)

Lateral Superresolution

491

(5)

Bypassing the Optical Transfer Function

491

(1)

Mathematical Foundation

492

(1)

Shifting Frequency Space

492

(1)

Extracting the Enhanced Image

493

(2)

Lateral Resolution Enhancement Simulation

495

(1)

Summary of Important Points

496

(3)

Image Data and Workflow Management

499

(32)

Tomasz Macura

Ilya Goldberg

Introduction

499

(2)

Open Microscopy Environment

500

(1)

Image Management in Other Fields

500

(1)

Requirements for Microscopy Image Management Systems

500

(1)

Architecture of Microscopy Image/Data/Workflow Systems

501

(3)

Client-Server Architecture

501

(1)

Image and Data Servers

502

(1)

Users, Ownership, Permissions

503

(1)

Microscopy Image Management

504

(8)

XYZCT Five-Dimensional Imaging Model

504

(1)

Image Viewers

504

(2)

Image Hierarchies

506

(1)

Predefined Containers

506

(1)

User-Defined Containers

507

(1)

Browsing and Search

508

(1)

Microscopy Image File Formats and OME-XML

509

(2)

OME-XML Image Acquisition Ontology

511

(1)

Data Management

512

(7)

Biomedical Ontologies

513

(1)

Building Ontologies with OME SemanticTypes

514

(2)

Data Management Software with Plug-in Ontologies

516

(1)

Storing Data with Ontological Structure

517

(1)

Image Acquisition Meta-Data

517

(1)

Mass Annotations

517

(1)

Spreadsheet Annotations

518

(1)

Workflow Management

519

(2)

Data Provenance

519

(1)

OME AnalysisModules

520

(1)

Editing and Deleting Data

520

(1)

Modeling Quantitative Image Analysis

521

(6)

Coupling Algorithms to Informatics Platforms

522

(2)

Composing Workflows

524

(1)

Enacting Workflows

524

(3)

Summary of Important Points

527

(4)

Glossary of Microscope Image Processing Terms

531

(10)

Index

541

Associate Professor Fatima Merchant works at Computer Engineering Technology and Computational Health Informatics in Houston, TX, USA. Kenneth R. Castleman is the president of Advanced Digital Imaging Research (ADIR), the author of the canonical textbook Digital Image Processing ISBN 0-13-211467-4 and an authority in the field of image processing and pattern recognition. He holds a B.S, M.S. and Ph.D. all in electrical engineering from The University of Texas at Austin. In 1984, he co-founded Perceptive Systems, Inc (PSI) with Don Winkler in League City, TX.

Microscope Image Processing [Kietas viršelis]

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