The Microcomputer In Cell And Neurobiology Research

Methods in Neurosciences, Volume 10: Computers and Computations in the Neurosciences discusses the use of computers in the neurosciences. The book deals with data collection, analysis, and modeling, with emphasis on the use of computers. Section I involves data collection using a personal microcomputer system. One paper presents a tutorial on using a PC-based motor control composed of an electronic circuit to adjust the motion of a light microscope stage through a software program. Other papers discuss computer methods in nuclei cartography and a computer-assisted quantitative receptor autoradiography in studying receptor density distribution. Section II deals with data analysis and some computer programs for kinetic modeling of gene expression in neurons. The book also discusses a computerized analysis of opioid receptor heterogeneity by ligand binding in test animals using computerized programs instead of employing manual or graphical methods. Computerized curve-fitting allows the researcher to utilize a more precise mathematical model to describe the binding of one ligand to one class of sites. Section III evaluates data modeling and simulations and describes the practicality of using computers to design model ion channels. Another paper discusses a graphical interaction program called MEMPOT to simulate an electrophysiological investigation of the properties of the membrane potential in stimulated cells. The book also presents a quantitative data gathered from computer simulation of the factors that affect neuronal density per measured sections. The book is suitable for microbiologists, biochemists, neuroscientists, and researchers in the field of medical research, as well as for advanced computer programmers in medical research work.

International Review of Cytology presents current advances and comprehensive reviews in cell biology – both plant and animal. Authored by some of the foremost scientists in the field, each volume provides up-to-date information and directions for future research.

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

This book is the story of the marriage of a new techl}ology, computers, with an old problem, the study of neuroanatomical structures using the light microscope. It is aimed toward you, the neuroanatomist, who until now have used computers primarily for word processing but now wish to use them also to collect and analyze your laboratory data. Mter reading the book, you will be better equipped to use a computer system for data collection and analysis, to employ a programmer who might develop a system for you, or to evaluate the systems available in the marketplace. To start toward this goal, a glossary first presents commonly used terms in computer assisted neuroanatomy. This, on its own, will aid you as it merges the jargon of the two different fields. Then, Chapter 1 presents a historical review to describe the manual tasks involved in presenting and measuring anatomic structures. This review lays a base line of the tasks that were done before computers and the amount of skill and time needed to perform the tasks. In Chapters 2 and 3, you will find basic information about laboratory computers and programs to the depth required for you to use the machines easily and talk with some fluency to computer engineers, programmers, and salesmen. Chapters 4, 5, and 6 present the use of computers to reconstruct anatomic structures, i.e., to enter them into a computer memory, where they are later displayed and analyzed.

This book comprises a large selection of papers presented at the second European Scientific Computing and Automation meeting (SCA 90 (Europe)) which was held in June 1990 in Maastricht, The Netherlands. The increasing use of computers for making measurements, interpreting data, and filing results brings a new unity to science. SCA concentrates on common computer-based tools which are useful in several disciplines. Practical problems in laboratory automation, robotics and information management with LIMS are covered in depth. The process of designing and acquiring a LIMS is described and standards for data transfer between instruments, between LIMS and instruments and between different LIMS are discussed. The applications of statistics and expert systems are covered in several chapters. Strategies for drug design are discussed with various practical examples. Finally the display of scientific results as images and computer-based animations is demonstrated by several examples with their color illustrations. The book should be of interest to those managing R&D projects, doing research in laboratories, acquiring or planning LIMS, designing instruments and laboratory automation systems and those involved in data analysis of scientific results.

This bk offers the 1st clear & comprehensive account of the scientific & social challenges & opportunities of electronic collaboration in science. Throughout, the aus illuminate their general points w/ concrete examples of the ways in which