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Titlebook: Automated Diagnostic Techniques in Medical Microbiology; Sunil Kumar,Awanish Kumar Book 2024 The Editor(s) (if applicable) and The Author(

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發(fā)表于 2025-3-21 17:00:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Automated Diagnostic Techniques in Medical Microbiology
影響因子2023Sunil Kumar,Awanish Kumar
視頻videohttp://file.papertrans.cn/167/166287/166287.mp4
發(fā)行地址Explains the desires, objectives and purposes of automation in clinical microbiology.Provides insights with comprehensive and usable knowledge of automation techniques in diagnostic microbiology.Cover
圖書(shū)封面Titlebook: Automated Diagnostic Techniques in Medical Microbiology; Sunil Kumar,Awanish Kumar Book 2024 The Editor(s) (if applicable) and The Author(
影響因子This book will explore the knowledge of current diagnostic automation techniques applied in the field of clinical microbiology, tropical diseases, POCT, etc. There is no such type of book related to this topic. This book will help clinicians, microbiologists, and researchers to make diagnostic algorithms for infectious diseases and help them in early diagnosis. Automation in clinical microbiology has revolutionized routine practice in diagnostic cum research in medical microbiology. This book covers the recent updates and advances in diagnostic microbiology and provides new techniques related to Genomic, Proteomic, and metabolomics in microbiology. This book will intensely discuss the new and innovative automation techniques available for diagnosis in the microbiology laboratory. This book is more focused on automation techniques, which are used in the early detection of infectious diseases even caused by rare microorganisms. Furthermore, this book has complied with the chapters that provide insights to readers with comprehensive and usable knowledge on automation techniques in diagnostic microbiology.?.
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https://doi.org/10.1007/978-3-7643-8317-6ted devices for sample inoculation, transportation to smart incubators, followed by its digital reading. The automation in aerobic bacteriology began first with the launch of first generation automated specimen processors, which took place more than 20?years ago. The various automated sample inocula
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https://doi.org/10.1007/978-3-642-34339-1mation is one field which does not remain untouched and when it comes to automation in diagnosis of chronic diseases like tuberculosis it augments the long list of tests which are in current use. Mycobacterium spp. specially Mtb is one slow growing bacterium which requires a long waiting time till t
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https://doi.org/10.1007/978-3-642-34339-1their antifungal sensitivity pattern. Very few equipments have been approved for identification of filamentous fungi. Further, due to high cost, their availability are still limited in high end diagnostic laboratory especially in developing countries. Nevertheless, their features of automated, faste
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Shyama P. Mukherjee,Jean Phalippou humankind all over the world and are the leading cause of mortality. Diagnoses of infectious diseases that are inaccurate have an impact on both the patient’s and the community’s health. This review discusses some application-oriented, dependable, secure, and quickly deployable automation technolog
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