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Books > Science & Mathematics > Science: general issues > Scientific equipment & techniques, laboratory equipment
A General History of Horology describes instruments used for the finding and measurement of time from Antiquity to the 21st century. In geographical scope it ranges from East Asia to the Americas. The instruments described are set in their technical and social contexts, and there is also discussion of the literature, the historiography and the collecting of the subject. The book features the use of case studies to represent larger topics that cannot be completely covered in a single book. The international body of authors have endeavoured to offer a fully world-wide survey accessible to students, historians, collectors, and the general reader, based on a firm understanding of the technical basis of the subject. At the same time as the work offers a synthesis of current knowledge of the subject, it also incorporates the results of some fundamental, new and original research.
Starting from first principles, this book introduces the closely related phenomena of Bose condensation and Cooper pairing, in which a very large number of single particles or pairs of particles are forced to behave in exactly the same way, and explores their consequences in condensed matter systems. Eschewing advanced formal methods, the author uses simple concepts and arguments to account for the various qualitatively new phenomena which occur in Bose-condensed and Cooper-paired systems, including but not limited to the spectacular macroscopic phenomena of superconductivity and superfluidity. The physical systems discussed include liquid 4-He, the BEC alkali gases, 'classical' superconductors, superfluid 3-He, 'exotic' superconductors and the recently stabilized Fermi alkali gases. The book should be accessible to beginning graduate students in physics or advanced undergraduates.
Scanning Tunneling Microscopy and its Application presents a unified view of the rapidly growing field of STM, and its many derivatives. A thorough discussion of the various principles provides the background to tunneling phenomena and leads to the many novel scanning-probe techniques, such as AFM, MFM, BEEM, PSTM, etc. After having examined the available instrumentation and the methods for tip and surface preparations, the monograph provides detailed accounts of STM application to metal and semiconductor surfaces, adsorbates and surface chemistry, biology, and nanofabrication. It examines limitations of the present-day investigations and provides hints about possible further trends. This second edition includes important new developments in the field.
The global loss of biodiversity is occurring at an unprecedented pace. Despite the considerable effort devoted to conservation science and management, we still lack even the most basic data on the distribution and density of the majority of plant and animal species, which in turn hampers our efforts to study changes over time. In addition, we often lack behavioural data from the very animals most influenced by environmental changes; this is largely due to the financial and logistical limitations associated with gathering scientific data on species that are cryptic, widely distributed, range over large areas, or negatively influenced by human presence. To overcome these limitations, conservationists are increasingly employing technology to facilitate such data collection. Innovative solutions have been driven by dramatic advances in the conservation-technology interface. The use of camera traps, acoustic sensors, satellite data, drones, and computer algorithms to analyse the large datasets collected are all becoming increasingly widespread. Although specialist books are available on some of these individual technologies, this is the first comprehensive text to describe the breadth of available technology for conservation and to evaluate its varied applications, bringing together a team of international experts using a diverse range of approaches. Conservation Technology is suitable for graduate level students, professional researchers, practitioners and field managers in the fields of ecology and conservation biology.
Demography is everywhere in our lives: from birth to death. Indeed, the universal currencies of survival, development, reproduction, and recruitment shape the performance of all species, from microbes to humans. The number of techniques for demographic data acquisition and analyses across the entire tree of life (microbes, fungi, plants, and animals) has drastically increased in recent decades. These developments have been partially facilitated by the advent of technologies such as GIS and drones, as well as analytical methods including Bayesian statistics and high-throughput molecular analyses. However, despite the universality of demography and the significant research potential that could emerge from unifying: (i) questions across taxa, (ii) data collection protocols, and (iii) analytical tools, demographic methods to date have remained taxonomically siloed and methodologically disintegrated. This is the first book to attempt a truly unified approach to demography and population ecology in order to address a wide range of questions in ecology, evolution, and conservation biology across the entire spectrum of life. This novel book provides the reader with the fundamentals of data collection, model construction, analyses, and interpretation across a wide repertoire of demographic techniques and protocols. It introduces the novice demographer to a broad range of demographic methods, including abundance-based models, life tables, matrix population models, integral projection models, integrated population models, individual based models, and more. Through the careful integration of data collection methods, analytical approaches, and applications, clearly guided throughout with fully reproducible R scripts, the book provides an up-to-date and authoritative overview of the most popular and effective demographic tools. Demographic Methods across the Tree of Life is aimed at graduate students and professional researchers in the fields of demography, ecology, animal behaviour, genetics, evolutionary biology, mathematical biology, and wildlife management.
The global loss of biodiversity is occurring at an unprecedented pace. Despite the considerable effort devoted to conservation science and management, we still lack even the most basic data on the distribution and density of the majority of plant and animal species, which in turn hampers our efforts to study changes over time. In addition, we often lack behavioural data from the very animals most influenced by environmental changes; this is largely due to the financial and logistical limitations associated with gathering scientific data on species that are cryptic, widely distributed, range over large areas, or negatively influenced by human presence. To overcome these limitations, conservationists are increasingly employing technology to facilitate such data collection. Innovative solutions have been driven by dramatic advances in the conservation-technology interface. The use of camera traps, acoustic sensors, satellite data, drones, and computer algorithms to analyse the large datasets collected are all becoming increasingly widespread. Although specialist books are available on some of these individual technologies, this is the first comprehensive text to describe the breadth of available technology for conservation and to evaluate its varied applications, bringing together a team of international experts using a diverse range of approaches. Conservation Technology is suitable for graduate level students, professional researchers, practitioners and field managers in the fields of ecology and conservation biology.
Volume 26 Reviews In Computational Chemistry Kenny B. Lipkowitz and Thomas R. Cundari Donald B. Boyd, Editor Emeritus This book series contains pedagogically driven reviews of computational methods for the novice molecular modeler as well as for the expert computational scientist. Topics covered in this volume include computational methods needed to compute interactions accurately, quantum mechanical methods used for computing weakly bound clusters, computing excited state properties with time-dependent density functional theory, and methods for computing quantum phase transitions. Also covered are real-space and multi-grid methods, hybrid methods for atomic level simulations spanning multiple time scales and multiple length scales, techniques used for extending time scales in atomic level simulations, and strategies for simulating ionic liquids. From Reviews Of The Series "Reviews in Computational Chemistry remains the most valuable
reference to methods and techniques in computational
chemistry." "One cannot generally do better than to try to find an
appropriate article in the highly successful Reviews in
Computational Chemistry. The basic philosophy of the editors seems
to be to help the authors produce chapters that are complete,
accurate, clear, and accessible to experimentalists (in particular)
and other nonspecialists (in general)."
The scanning tunnelling microscope (STM) was invented by Binnig and Rohrer and received a Nobel Prize of Physics in 1986. Together with the atomic force microscope (AFM), it provides non-destructive atomic and subatomic resolution on surfaces. Especially, in recent years, internal details of atomic and molecular wavefunctions are observed and mapped with negligible disturbance. Since the publication of its first edition, this book has been the standard reference book and a graduate-level textbook educating several generations of nano-scientists. In Aug. 1992, the co-inventor of STM, Nobelist Heinrich Rohrer recommended: "The Introduction to Scanning tunnelling Microscopy by C.J. Chen provides a good introduction to the field for newcomers and it also contains valuable material and hints for the experts". For the second edition, a 2017 book review published in the Journal of Applied Crystallography said "Introduction to Scanning tunnelling Microscopy is an excellent book that can serve as a standard introduction for everyone that starts working with scanning probe microscopes, and a useful reference book for those more advanced in the field". The third edition is a thoroughly updated and improved version of the recognized "Bible" of the field. Additions to the third edition include: theory, method, results, and interpretations of the non-destructive observation and mapping of atomic and molecular wavefunctions; elementary theory and new verifications of equivalence of chemical bond interaction and tunnelling; scanning tunnelling spectroscopy of high Tc superconductors; imaging of self-assembled organic molecules on the solid-liquid interfaces. Some key derivations are rewritten using mathematics at an undergraduate level to make it pedagogically sound.
Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solving problems, guiding decisions, and formulating strategy. Progressing from relatively unprocessed data to insight, and doing so efficiently, reliably, and confidently, does not come easily, and yet gaining insights from data is a fundamental skill for science as well as many other fields and often overlooked in most textbooks of statistics and data analysis. This accessible and engaging book provides readers with the knowledge, experience, and confidence to work with data and unlock essential information (insights) from data summaries and visualisations. Based on a proven and successful undergraduate course structure, it charts the journey from initial question, through data preparation, import, cleaning, tidying, checking, double-checking, manipulation, and final visualization. These basic skills are sufficient to gain useful insights from data without the need for any statistics; there is enough to learn about even before delving into that world! The book focuses on gaining insights from data via visualisations and summaries. The journey from raw data to insights is clearly illustrated by means of a comprehensive Workflow Demonstration in the book featuring data collected in a real-life study and applicable to many types of question, study, and data. Along the way, readers discover how to efficiently and intuitively use R, RStudio, and tidyverse software, learning from the detailed descriptions of each step in the instructional journey to progress from the raw data to creating elegant and informative visualisations that reveal answers to the initial questions posed. There are an additional three demonstrations online! Insights from Data with R is suitable for undergraduate students and their instructors in the life and environmental sciences seeking to harness the power of R, RStudio, and tidyverse software to master the valuable and prerequisite skills of working with and gaining insights from data.
Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solving problems, guiding decisions, and formulating strategy. Progressing from relatively unprocessed data to insight, and doing so efficiently, reliably, and confidently, does not come easily, and yet gaining insights from data is a fundamental skill for science as well as many other fields and often overlooked in most textbooks of statistics and data analysis. This accessible and engaging book provides readers with the knowledge, experience, and confidence to work with data and unlock essential information (insights) from data summaries and visualisations. Based on a proven and successful undergraduate course structure, it charts the journey from initial question, through data preparation, import, cleaning, tidying, checking, double-checking, manipulation, and final visualization. These basic skills are sufficient to gain useful insights from data without the need for any statistics; there is enough to learn about even before delving into that world! The book focuses on gaining insights from data via visualisations and summaries. The journey from raw data to insights is clearly illustrated by means of a comprehensive Workflow Demonstration in the book featuring data collected in a real-life study and applicable to many types of question, study, and data. Along the way, readers discover how to efficiently and intuitively use R, RStudio, and tidyverse software, learning from the detailed descriptions of each step in the instructional journey to progress from the raw data to creating elegant and informative visualisations that reveal answers to the initial questions posed. There are an additional three demonstrations online! Insights from Data with R is suitable for undergraduate students and their instructors in the life and environmental sciences seeking to harness the power of R, RStudio, and tidyverse software to master the valuable and prerequisite skills of working with and gaining insights from data.
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.
The present biodiversity crisis is rife with opportunities to make important conservation decisions; however, the misuse or misapplication of the methods and techniques of animal ecology can have serious consequences for the survival of species. Still, there have been relatively few critical reviews of methodology in the field. This book provides an analysis of some of the most frequently used research techniques in animal ecology, identifying their limitations and misuses, as well as possible solutions to avoid such pitfalls. In the process, contributors to this volume present new perspectives on the collection, analysis, and interpretation of data. "Research Techniques in Animal Ecology" is an overarching account of central theoretical and methodological controversies in the field, rather than a handbook on the minutiae of techniques. The editors have forged comprehensive presentations of key topics in animal ecology, such as territory and home range estimates, habitation evaluation, population viability analysis, GIS mapping, and measuring the dynamics of societies. Striking a careful balance, each chapter begins by assessing the shortcomings and misapplications of the techniques in question, followed by a thorough review of the current literature, and concluding with possible solutions and suggested guidelines for more robust investigations.
"BioCoder" is a quarterly newsletter for DIYbio, synthetic bio, and anything related. You ll discover: Articles about interesting projects and experiments, such as the glowing plantArticles about tools, both those you buy and those you buildVisits to DIYbio laboratoriesProfiles of key people in the communityAnnouncements of events and other items of interestSafety pointers and tips about good laboratory practiceAnything that s interesting or useful: you tell us!And "BioCoder" is free (for the time being), unless you want a dead-tree version. We d like "BioCoder" to become self supporting (maybe even profitable), but we ll worry about that after we ve got a few issues under our belt.If you d like to contribute, send email to [email protected]. Tell us what you d like to do, and we ll get you started."
The Fundamentals of Biomedical Science series has been written to reflect the challenges of practicing biomedical scientists today. It draws together essential basic science, with insights into laboratory practice, to show how an understanding of the biology of disease is linked to analytical approaches that lead to diagnosis. The series reviews the full range of disciplines to which a biomedical scientist may be exposed - from microbiology, to cytopathology, to transfusion science. The third edition of Biomedical Science Practice gives a comprehensive overview of key laboratory techniques and professional practial skills, with which students will need to be familiar to be successful in a professional biomedical enviroment.The text discusses a broad range of professional skills and concepts, such as health and safety considerations, personal development, and communication and confidentiality. The text also explores key experimental and analytical approaches which form the basis of the investigation and diagnosis of clinical conditions. Each chapter is supported with engaging clinical case studies, written to emphasize the link between theory and practice, and a set of end-of-chapter questions, which encourages students to test their knowledge and stretch their understanding. The third edition is available for students and institutions to purchase in a variety of formats and is supported by online resources. The e-book offers a mobile experience and convenient access along with functionality tools, navigation features and links that offer extra learning support: www.oxfordtextbooks.co.uk/ebooks Online student resources supporting the book include: Answers to case study and self-check questions Multiple choice questions An interactive Digital Microscope, encouraging the exploration of tissue samples Video podcasts including interviews with practicing biomedical scientists, and 'in the lab' footage showing biomedical science in practice Online lecturer resources supporting the book include: Figures from the book, available to download
BioCoder is a quarterly newsletter for DIYbio, synthetic bio, and anything related. You'll discover: Articles about interesting projects and experiments, such as the glowing plant Articles about tools, both those you buy and those you build Visits to DIYbio laboratories Profiles of key people in the community Announcements of events and other items of interest Safety pointers and tips about good laboratory practice Anything that's interesting or useful: you tell us! And BioCoder is free (for the time being), unless you want a dead-tree version. We'd like BioCoder to become self supporting (maybe even profitable), but we'll worry about that after we've got a few issues under our belt.
Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible, with low bias, high precision, and widely applicable results. With specific examples from research using both cell cultures and model organisms, it explores key ideas in experimental design, assesses common designs, and shows how to plan a successful experiment. It demonstrates how to control biological and technical factors that can introduce bias or add noise, and covers rarely discussed topics such as graphical data exploration, choosing outcome variables, data quality control checks, and data pre-processing. It also shows how to use R for analysis, and is designed for those with no prior experience. An accompanying website (https://stanlazic.github.io/EDLB.html) includes all R code, data sets, and the labstats R package. This is an ideal guide for anyone conducting lab-based biological research, from students to principle investigators working in either academia or industry.
* Internet exercises available on the Web.
This fully updated, self-contained textbook covering modern optical microscopy equips students with a solid understanding of the theory underlying a range of advanced techniques. Two new chapters cover pump-probe techniques, and imaging in scattering media, and additional material throughout covers light-sheet microscopy, image scanning microscopy, and much more. An array of practical techniques are discussed, from classical phase contrast and confocal microscopy, to holographic, structured illumination, multi-photon, and coherent Raman microscopy, and optical coherence tomography. Fundamental topics are also covered, including Fourier optics, partial coherence, 3D imaging theory, statistical optics, and the physics of scattering and fluorescence. With a wealth of end-of-chapter problems, and a solutions manual for instructors available online, this is an invaluable book for electrical engineering, biomedical engineering, and physics students taking graduate courses on optical microscopy, as well as advanced undergraduates, professionals, and researchers looking for an accessible introduction to the field.
The market leader for the full-year organic laboratory, this manual derives many experiments and procedures from the classic Feiser lab text, giving it an unsurpassed reputation for solid, authoritative content. The book includes new experiments that stress greener chemistry, updated NMR spectra, and a Premium Website that includes glassware-specific videos with pre-lab exercises. Offering a flexible mix of macroscale and microscale options for most experiments, this proven manual allows users to save on the purchase and disposal of expensive, sometimes hazardous organic chemicals. Macroscale versions can be used for less costly experiments, giving readers experience working with conventionally sized glassware.
Written by a pioneer in the field, this text provides a complete introduction to X-ray microscopy, providing all of the technical background required to use, understand and even develop X-ray microscopes. Starting from the basics of X-ray physics and focusing optics, it goes on to cover imaging theory, tomography, chemical and elemental analysis, lensless imaging, computational methods, instrumentation, radiation damage, and cryomicroscopy, and includes a survey of recent scientific applications. Designed as a 'one-stop' text, it provides a unified notation, and shows how computational methods in different areas are linked with one another. Including numerous derivations, and illustrated with dozens of examples throughout, this is an essential text for academics and practitioners across engineering, the physical sciences and the life sciences who use X-ray microscopy to analyze their specimens, as well as those taking courses in X-ray microscopy.
This new fourth edition of the standard text on atomic-resolution transmission electron microscopy (TEM) retains previous material on the fundamentals of electron optics and aberration correction, linear imaging theory (including wave aberrations to fifth order) with partial coherence, and multiple-scattering theory. Also preserved are updated earlier sections on practical methods, with detailed step-by-step accounts of the procedures needed to obtain the highest quality images of atoms and molecules using a modern TEM or STEM electron microscope. Applications sections have been updated - these include the semiconductor industry, superconductor research, solid state chemistry and nanoscience, and metallurgy, mineralogy, condensed matter physics, materials science and material on cryo-electron microscopy for structural biology. New or expanded sections have been added on electron holography, aberration correction, field-emission guns, imaging filters, super-resolution methods, Ptychography, Ronchigrams, tomography, image quantification and simulation, radiation damage, the measurement of electron-optical parameters, and detectors (CCD cameras, Image plates and direct-injection solid state detectors). The theory of Scanning transmission electron microscopy (STEM) and Z-contrast are treated comprehensively. Chapters are devoted to associated techniques, such as energy-loss spectroscopy, Alchemi, nanodiffraction, environmental TEM, twisty beams for magnetic imaging, and cathodoluminescence. Sources of software for image interpretation and electron-optical design are given.
Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible, with low bias, high precision, and widely applicable results. With specific examples from research using both cell cultures and model organisms, it explores key ideas in experimental design, assesses common designs, and shows how to plan a successful experiment. It demonstrates how to control biological and technical factors that can introduce bias or add noise, and covers rarely discussed topics such as graphical data exploration, choosing outcome variables, data quality control checks, and data pre-processing. It also shows how to use R for analysis, and is designed for those with no prior experience. An accompanying website (https://stanlazic.github.io/EDLB.html) includes all R code, data sets, and the labstats R package. This is an ideal guide for anyone conducting lab-based biological research, from students to principle investigators working in either academia or industry.
This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.
This DK children's book aged 11-14 is brimming with exciting,
educational activities and projects that focus on electronics and
technology.
The Oxford Handbook of the History of Physics brings together cutting-edge writing by more than twenty leading authorities on the history of physics from the seventeenth century to the present day. By presenting a wide diversity of studies in a single volume, it provides authoritative introductions to scholarly contributions that have tended to be dispersed in journals and books not easily accessible to the general reader. While the core thread remains the theories and experimental practices of physics, the Handbook contains chapters on other dimensions that have their place in any rounded history. These include the role of lecturing and textbooks in the communication of knowledge, the contribution of instrument-makers and instrument-making companies in providing for the needs of both research and lecture demonstrations, and the growing importance of the many interfaces between academic physics, industry, and the military. |
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