|
Books > Science & Mathematics > Science: general issues > Scientific equipment & techniques, laboratory equipment
The modern ecologist usually works in both the field and
laboratory, uses statistics and computers, and often works with
ecological concepts that are model-based, if not model-driven. How
do we make the field and laboratory coherent? How do we link models
and data? How do we use statistics to help experimentation? How do
we integrate modeling and statistics? How do we confront multiple
hypotheses with data and assign degrees of belief to different
hypotheses? How do we deal with time series (in which data are
linked from one measurement to the next) or put multiple sources of
data into one inferential framework? These are the kinds of
questions asked and answered by "The Ecological Detective."
Ray Hilborn and Marc Mangel investigate ecological data much as
a detective would investigate a crime scene by trying different
hypotheses until a coherent picture emerges. The book is not a set
of pat statistical procedures but rather an approach. The
Ecological Detective makes liberal use of computer programming for
the generation of hypotheses, exploration of data, and the
comparison of different models. The authors' attitude is one of
exploration, both statistical and graphical. The background
required is minimal, so that students with an undergraduate course
in statistics and ecology can profitably add this work to their
tool-kit for solving ecological problems.
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.
Gottingen ist mit den Aufgaben und Zielen der Deutschen
Gesellschaft fUr Medizinische Dokumentation, Informatik und
Statistik (GMDS) nicht nur durch die yom 3. - 5. Oktober 1977
stattgefundene 22. Jahrestagung verbunden. Schon durch den
Mathematiker Felix B ern s t e i n, dem anlaBlich seines 100.
Geburtstages eine Diplomarbeit aus dem Mathe- matisch-Statistischen
Institut der Universitat Gotting n gewidmet worden ist, wurden
bereits vor dem ersten Weltkrieg und in den darauf- folgenden
Jahren grundlegende mathematisch-statistische Arbeiten auf dem
Gebiet des Versicherungswesens und der Humangenetik durchgefUhrt.
Nach dem zweiten Weltkrieg hat H 0 s e man n in Gottingen die Ver-
fahren der maschinellen Lochkartendokumentation zur Datensammlung
als Grundlage statistischer Verfahren fUr die
Universitats-Frauenklinik eingesetzt. Ein Teil seiner
Entwicklungen, besonders auf dem Gebiet der Erfassung und
Standardisierung der gynakologischen Karzinome werden heute noch
verwendet. Ende 1952 und 1954 war Gottingen Tagungsort der
Untergruppe Medizin der Deutschen Gesellschaft fUr Dokumentation
(DGD) und nach GrUndung des "ArbeitsausschuB Medizin" in der DGD,
dem direkten Vorlaufer unserer Gesellschaft, wurde die e r s t e
Jahrestagung in Gottingen mit dem Thema: "Lochkarten und
Randlochkarten im klinischen Gebrauch" durchgefUhrt.
The Global Lab tells the story of a group of organizations and
corporations using low-income countries as a laboratory. It reveals
experiments with untested technologies, biometric humanitarian
solutions, and radical methodologies for social change. The book
maps out the political, institutional, and ethical coordinates of
emergent transnational practices of experimentation, asking where
and how this movement works, while unfolding the human,
philosophical, and political consequences of its ideas and
interventions. The book takes the reader through Silicon Valley,
Africa, and Asia to understand the tangible and transformative
implications of contemporary human experimentation. It follows a
set of main protagonists, from the Bill and Melinda Gates
Foundation to experimental economists known as the randomistas, to
humanitarian organizations and pharmaceutical companies. These
actors form a movement inspired by the logic of Silicon Valley
about the need for fast-paced radical change and societal
disruption, technological innovation as progress, and the
privatization and commercialization of the human mind and body.
Ultimately, the book examines the inequality of experimentation
that is found in the erection of walls between us and them, and the
imagined universal and often unquestioned value of scientific and
technological progress.
Related Title: Laboratory Scientific Glassblowing: A Practical
Training MethodThis book pushes back the boundaries of Scientific
Glassblowing, emphasizing the possibilities of the material.In
addition to the author's own chapters, he has invited Scientific
Glassblowers from around the world to describe advanced
glassblowing techniques in addition to the historical background of
its development.
|
|