This volume of Advances Anatomy Embryology and Cell Biology focuses on the emerging field of bio-image informatics, presenting novel and exciting ways of handling and interpreting large image data sets. A collection of focused reviews written by key players in the field highlights the major directions and provides an excellent reference work for both young and experienced researchers.

This unique compendium provides state-of-the-art computational methodology and applications in bioimage informatics. It covers cutting-edge technology developments in biological image analysis, where images come from new modalities and are often large scale, high throughput and high dimensional. The book reflects advances in intelligent algorithms for tasks such as biological image segmentation, reconstruction, and object tracking.Contributed by world renowned researchers, this useful reference text presents case studies that can potentially help readers find approaches and resources to address their imminent scientific problems.

Introduction to Biological Imaging Discover what biological imaging is able to accomplish in this up-to-date textbook One of the fundamental goals of biology is to understand how living organisms establish and maintain their spatiotemporal organization of the biochemical, cell biological and developmental biology processes that sustain life. Biological systems are inherently complex with a large number of components needed to sustain cellular function. In order to understand any complex system, one must determine its composition by identifying the components it is made of, how each of these components function and carry out their specific task, and how they interact with one another to function together. To grasp the link of such changes to physiological cell and tissue function and/or pathogenesis/disease progression, we need to understand how modifications alter macromolecular function, macromolecular interactions, and/or spatiotemporal distribution and overall supramolecular structural organization. Biological imaging holds the key to understanding spatiotemporal organization, and will thus be increasingly important for the next generations of biological and biochemical researchers. Introduction to Biological Imaging provides the first comprehensive textbook surveying this subject. It elucidates the fundamental principles underlying the capture and production of bioimages, the requirements of image analysis and interpretation, and some key problems and solutions in bioimaging. It includes everything experimental biologists need to incorporate appropriate bioimaging solutions into their work. Introduction to Biological Imaging readers will also find: Coverage of all major types of biological imaging, including medical imaging, cellular imaging, macromolecular imaging, and more Advice on preparing samples for various imaging methods Specific examples in each chapter connecting bioimaging process to the production of real experimental data Introduction to Biological Imaging is a valuable introduction for undergraduate or graduate students in courses relating to bioimaging, as well as scientists and researchers in the biological and medical fields who want a one-stop reference for the full range of imaging techniques.

This volume of Lecture Notes in Bioinformatics contains selected papers from the workshop of the BioLINK Special Interest Group (SIG) on Linking Literature, Information and Knowledge for Biology. The workshop was held June 28- 29, 2009 at the ISMB/ECCB 2009 conference in Stockholm.

Microscope Image Processing, Second Edition, introduces the basic fundamentals of image formation in microscopy including the importance of image digitization and display, which are key to quality visualization. Image processing and analysis are discussed in detail to provide readers with the tools necessary to improve the visual quality of images, and to extract quantitative information. Basic techniques such as image enhancement, filtering, segmentation, object measurement, and pattern recognition cover concepts integral to image processing. In addition, chapters on specific modern microscopy techniques such as fluorescence imaging, multispectral imaging, three-dimensional imaging and time-lapse imaging, introduce these key areas with emphasis on the differences among the various techniques.The new edition discusses recent developments in microscopy such as light sheet microscopy, digital microscopy, whole slide imaging, and the use of deep learning techniques for image segmentation and analysis with big data image informatics and management.Microscope Image Processing, Second Edition, is suitable for engineers, scientists, clinicians, post-graduate fellows and graduate students working in bioengineering, biomedical engineering, biology, medicine, chemistry, pharmacology and related fields, who use microscopes in their work and would like to understand the methodologies and capabilities of the latest digital image processing techniques or desire to develop their own image processing algorithms and software for specific applications. - Presents a unique practical perspective of state-of-the-art microscope 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

Correlative Light and Electron Microscopy III, Volume 140, a new volume in the Methods in Cell Biology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field. Topics discussed in this new release include Millisecond time-resolved CLEM, Super resolution LM und SEM of high-pressure frozen C. elegans, Preservation fluorescence, super res CLEM, APEX in Tissue, Corrsight mit IBIDI flowthrough chamber, Correlative Light Atomic Force Electronic Microscopy (CLAFEM), Atmospheric EM CLEM, and High-precision correlation, amongst other topics. Chapters in this ongoing series deal with different approaches for analyzing the same specimen using more than one imaging technique. The strengths and application area of each is presented, with this volume exploring the aspects of sample preparation of diverse biological systems for different CLEM approaches. Contains contributions from experts in the field Covered topics include targeted ultramicrotomy and high-precision correlation Presents recent advances and currently applied correlative approaches Gives detailed protocols allowing the application of workflows in one’s own laboratory setting Covers CLEM approaches in the context of specific applications Aims to stimulate the use of new combinations of imaging modalities

Cell Biology: Translational Impact in Cancer Biology and Bioinformatics provides insight into the implications for cell cycle regulation and cell proliferation in cancer growth and dissemination. Offering guidance for techniques and tools to help with diagnosis, this publication provides users with a broad view of this research area, and is also useful for both early and experienced researchers across cell biology, cancer research, molecular biology, and in clinical and translational science. Offers insight into how cell cycle and cell division relates to cancer biology Emphasizes flow cytometry and other cell biology techniques for diagnosis Includes recommendations for integration and analyzation of molecular and clinical data

Praise for Computational Systems BiologyApproaches in Cancer Research: "Complex concepts are written clearly and with informative illustrations and useful links. The book is enjoyable to read yet provides sufficient depth to serve as a valuable resource for both students and faculty." — Trey Ideker, Professor of Medicine, UC Xan Diego, School of Medicine "This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites." — Yves Moreau, Department of Electrical Engineering, SysBioSys Centre for Computational Systems Biology, University of Leuven With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. The book provides an important reference and teaching material in the field of computational biology in general and cancer systems biology in particular. The book presents a list of modern approaches in systems biology with application to cancer research and beyond. It is structured in a didactic form such that the idea of each approach can easily be grasped from the short text and self-explanatory figures. The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. Features Up to date using a wide range of approaches Applicationexample in each chapter Online resources with useful applications’

This book constitutes the refereed proceedings of the 4th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2014, held in Pittsburgh, PA, USA, in September 2014. The 29 revised full papers presented together with 10 short papers and 6 keynote talks were carefully reviewed and selected from 54 submissions. The papers cover the following topics: medical treatment, imaging and analysis; image registration, denoising and feature identification; image segmentation; shape analysis, meshing and graphs; medical image processing and simulations; image recognition, reconstruction and predictive modeling; image-based modeling and simulations; and computer vision and data-driven investigations.

Identification of desirable genotypes with traits of interest is discernible for making genetic improvement of crop plants. In this direction, screening of a large number of germplasm for desirable traits and transfer of identified traits into agronomic backgrounds through recombination breeding is the common breeding approach. Although visual screening is easier for qualitative traits, its use is not much effective for quantitative traits and also for those, which are difficult to score visually. Therefore, it is imperative to phenotype the germplasm accessions and breeding materials precisely using high throughput phenomics tools for challenging and complex traits under natural, controlled and harsh environmental conditions. Realizing the importance of phenotyping data towards identification and utilization of a germplasm as donors, global scientific community has exerted increased focus on advancing phenomics in crop plants leading to development of a number of techniques and methodologies for screening of agronomic, physiological, and biochemical traits. These technologies have now become much advanced and entered the era of digital science. This book provides exhaustive information on various aspects related to phenotyping of crop plants and offers a most comprehensive reference on the developments made in traditional and high throughput phenotyping of agricultural crops.