Three Dimensional Analysis Of Light Microscope Images

Three-Dimensional Electron Microscopy, Volume 152 in the Methods in Cell Biology series, highlights new advances in the field, with this new volume presenting interesting chapters focusing on FIB-SEM of mouse nervous tissue: fast and slow sample preparation, Serial-section electron microscopy using ATUM - Automated Tape collecting Ultra-Microtome, Software for automated acquisition of electron tomography tilt series, Scanning electron tomography of biological samples embedded in plastic, Cryo-STEM tomography for Biology, CryoCARE: Content-aware denoising of cryo-EM images and tomograms using artificial neural networks, Expedited large-volume 3-D SEM workflows for comparative vertebrate microanatomical imaging, and many other interesting topics. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Methods in Cell Biology series Includes the latest information on the Three-Dimensional Electron Microscopy technique

This book discusses the various principles in confocal scanning microscopy which has become a useful tool in many practical fields including biological studies and industrial inspection. The methodology presented in this book is unique and is based on the concept of the three-dimensional transfer functions which have been developed by the author and his colleagues over the last five years. With the 3-D transfer functions, resolving power in 3-D confocal imaging can be defined in a unified way, different optical arrangements can be compared with an insight into their inter-relationship, and images of thick objects can be modeled in terms of the Fourier transform which makes the analysis easy. The aim of this book is to provide a systematic introduction to the concept of the 3-D transfer functions in various confocal microscopes, to describe the methods for the derivation of different 3-D transfer functions, and to explain the principles of 3-D confocal imaging in terms of these functions.

Automatic image analysis has become an important tool in many fields of biology, medicine, and other sciences. Since the first edition of Image Analysis: Methods and Applications, the development of both software and hardware technology has undergone quantum leaps. For example, specific mathematical filters have been developed for quality enhancement of original images and for extraction of specific features of interest. Also, more complex programs have been developed for the analysis of object forms in distinguishing cancer cells from normal tissue cells. Just as significant, three-dimensional analysis of proteins, organelles, or macroscopic objects is even more complex. In addition, recent space-based experiments have optimized techniques for the extraction of movement parameters of numerous motile objects. The second edition of Image Analysis: Methods and Applications addresses all these new developments. Moreover, two new chapters have been added. One focuses on images on the internet, and the other discusses microscope image restoration. These chapters add significantly to the existing body of information on Internet communication protocol and environment as well as to that on image file formats considerations. The materials also include a list of internet Web sites that pertain to digital images and software along with those that relate to image processing. With these considerations in mind, Image Analysis: Methods and Application, Second Edition is of incalculable value to professionals, academics, and users of all aspects of image analysis in biology and other areas of science.

The use of computer-based image analysis systems for all kinds of images, but especially for microscope images, has become increasingly widespread in recent years, as computer power has increased and costs have dropped. Software to perform each of the various tasks described in this book exists now, and without doubt additional algorithms to accomplish these same things more efficiently, and to perform new kinds of image processing, feature discrimination and measurement, will continue to be developed. This is likely to be true particularly in the field of three-dimensional imaging, since new microscopy methods are beginning to be used which can produce such data. It is not the intent of this book to train programmers who will assemble their own computer systems and write their own programs. Most users require only the barest of knowledge about how to use the computer, but the greater their understanding of the various image analysis operations which are possible, their advantages and limitations, the greater the likelihood of success in their application. Likewise, the book assumes little in the way of a mathematical background, but the researcher with a secure knowledge of appropriate statistical tests will find it easier to put some of these methods into real use, and have confidence in the results, than one who has less background and experience. Supplementary texts and courses in statistics, microscopy, and specimen preparation are recommended as necessary.

Automatic image analysis has become an important tool in many fields of biology, medicine, and other sciences. Since the first edition of Image Analysis: Methods and Applications, the development of both software and hardware technology has undergone quantum leaps. For example, specific mathematical filters have been developed for quality enhanceme