Experimental Design for Laboratory Biologists, Lazic
Автор: Lazic Название: Experimental Design for Laboratory Biologists ISBN: 1107424887 ISBN-13(EAN): 9781107424883 Издательство: Cambridge Academ Рейтинг: Цена: 7445.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An ideal resource for anyone conducting lab-based biomedical research, this guide shows how to design reproducible experiments that have low bias, high precision and widely applicable results. It explores key ideas in experimental design, including reproducibility and replication, assesses common designs, and shows how to plan for success.
Автор: Hibbs Alan R. Название: Confocal Microscopy for Biologists ISBN: 0306484684 ISBN-13(EAN): 9780306484681 Издательство: Springer Рейтинг: Цена: 13060.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: There has been a great upsurge in interest in light microscopy in recent years due to the advent of a number of significant advances in microscopy, one of the most important of which is confocal microscopy.
Автор: Victor J Morris, Andrew R Kirby, A Patrick Gunning Название: Atomic Force Microscopy For Biologists (2nd Edition) ISBN: 184816467X ISBN-13(EAN): 9781848164673 Издательство: World Scientific Publishing Рейтинг: Цена: 10138.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Atomic force microscopy (AFM) is part of a range of microscopic methods for biologists which offer the magnification range of both the light and electron microscope, but allow imaging under the `natural` conditions usually associated with the light microscope. This book provides an appreciation of the advantages and limitations of the technique.
Автор: Dixit Название: Microfluidics for Biologists ISBN: 3319400355 ISBN-13(EAN): 9783319400358 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes novel microtechnologies and integration strategies for developing a new class of assay systems to retrieve desired health information from patients in real-time. The selection and integration of sensor components and operational parameters for developing point-of-care (POC) are also described in detail. The basics that govern the microfluidic regimen and the techniques and methods currently employed for fabricating microfluidic systems and integrating biosensors are thoroughly covered. This book also describes the application of microfluidics in the field of cell and molecular biology, single cell biology, disease diagnostics, as well as the commercially available systems that have been either introduced or have the potential of being used in research and development. This is an ideal book for aiding biologists in understanding the fundamentals and applications of microfluidics. This book also: Describes the preparatory methods for developing 3-dimensional microfluidic structures and their use for Lab-on-a-Chip design
Explains the significance of miniaturization and integration of sensing components to develop wearable sensors for point-of-care (POC)Demonstrates the application of microfluidics to life sciences and analytical chemistry, including disease diagnostics and separations
Motivates new ideas related to novel platforms, valving technology, miniaturized transduction methods, and device integration to develop next generation sequencing Discusses future prospects and challenges of the field of microfluidics in the areas of life sciences in general and diagnostics in particular
Автор: Pevzner Название: Bioinformatics for Biologists ISBN: 1107011469 ISBN-13(EAN): 9781107011465 Издательство: Cambridge Academ Рейтинг: Цена: 16474.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A team of renowned bioinformaticians take fresh approaches to lead biology students from first principles towards computational thinking. Intuitive explanations promote deep understanding, using little mathematical formalism. Covering essential bioinformatic topics in a concise textbook, the authors prepare students to meet the computational challenges of their life science careers.
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