This book is a comprehensive resource and up-to-date description of all urinary sediment constituents which are presented in bright-field mode and in phase-contrast mode. Thanks to numerous detailed images of urinary sediment constituents, the reader is able to easily compare what they view microscopically with high-resolution photographs and short films. The book is also designed to aid the identification of rare urine constituents in their native state without prior staining. It also features guidance on how set-up a microscope , microscopy techniques, and preanalytics. Exercises focused on microscopic analysis and diagnosis and a urinary sediment quiz reinforce key concepts to aid learning. Urine Sediment provides a practically applicable guide to the recognition of urinary sediment constituents. It is therefore a critical resource for trainees and experienced practitioners in urology, nephrology, gynecology and general practice who need to be able to accurately and quickly identify urine sediment constituents.

Histology, immunology, histochemistry and microscopy. Since retiring in 1989 as Reader in Anatomy at Sheffield University, he has been an independent research worker in biomedical science. Key Features * Aids insight into microscope operation and imitations * The approach is non-mathematical, yet in-depth * Enables lecture time to be replaced by learning assignments * Includes a help function for all four programs * The programs have been tried and tested by 2nd and 3rd year biomedical undergraduates.

Presents a fully updated, self-contained textbook covering the core theory and practice of both classical and modern optical microscopy techniques.

Providing an overview of God's world through a microscope, this book gives a brief history of microscopes before diving into seeing the world through one. Starting with their simple origins in the 13th century as magnifying glasses and exploring some of the many modern varieties of imaging, we explore how they are used and some of what may be seen through one now.Filled with full-color microscopic images of varied animals, insects, plants and fungi, and microorganisms, as well as detailed information for using the modern microscope in the classroom.Discusses examples of stained and unstained slide samples, brightfield, darkfield, and phase contrast microscopy.Includes practical tips about the use of the microscope and labels many of the slide images for easier identification of microscopic structures.Though this is an independent text that can be used with any biology study, it also serves as a companion book in the Master's Class Biology: The Study of Life From a Christian Worldview high school course available from Master Books®. Those who purchase this book would not have to purchase a microscope in order to fulfill the requirements.

Welcome to the wonderful world of microbiology! Yay! So. What is microbiology? If we break the word down it translates to "the study of small life," where the small life refers to microorganisms or microbes. But who are the microbes? And how small are they? Generally microbes can be divided in to two categories: the cellular microbes (or organisms) and the acellular microbes (or agents). In the cellular camp we have the bacteria, the archaea, the fungi, and the protists (a bit of a grab bag composed of algae, protozoa, slime molds, and water molds). Cellular microbes can be either unicellular, where one cell is the entire organism, or multicellular, where hundreds, thousands or even billions of cells can make up the entire organism. In the acellular camp we have the viruses and other infectious agents, such as prions and viroids. In this textbook the focus will be on the bacteria and archaea (traditionally known as the "prokaryotes,") and the viruses and other acellular agents.

Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular deep learning, for microscopy image analysis that will advance your efforts. Progress in imaging techniques has enabled the acquisition of large volumes of microscopy data and made it possible to conduct large-scale, image-based experiments for biomedical discovery. The main challenge and bottleneck in such experiments is the conversion of "big visual data" into interpretable information. Visual analysis of large-scale microscopy data is a daunting task. Computer vision has the potential to automate this task. One key advantage is that computers perform analysis more reproducibly and less subjectively than human annotators. Moreover, high-throughput microscopy calls for effective and efficient techniques as there are not enough human resources to advance science by manual annotation. This book articulates the strong need for biologists and computer vision experts to collaborate to overcome the limits of human visual perception, and devotes a chapter each to the major steps in analyzing microscopy images, such as detection and segmentation, classification, tracking, and event detection. Discover how computer vision can automate and enhance the human assessment of microscopy images for discovery Grasp the state-of-the-art approaches, especially deep neural networks Learn where to obtain open-source datasets and software to jumpstart his or her own investigation

With contributions by numerous experts