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Automated Diagnostic Techniques in Medical Microbiology 2024 ed. [Kõva köide]

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  • Formaat: Hardback, 204 pages, kõrgus x laius: 235x155 mm, 46 Illustrations, color; 5 Illustrations, black and white; VI, 204 p. 51 illus., 46 illus. in color., 1 Hardback
  • Ilmumisaeg: 14-May-2024
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819999421
  • ISBN-13: 9789819999422
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  • Kõva köide
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Automated Diagnostic Techniques in Medical Microbiology 2024 ed.Suurem pilt
  • Formaat: Hardback, 204 pages, kõrgus x laius: 235x155 mm, 46 Illustrations, color; 5 Illustrations, black and white; VI, 204 p. 51 illus., 46 illus. in color., 1 Hardback
  • Ilmumisaeg: 14-May-2024
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819999421
  • ISBN-13: 9789819999422
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819999422.html
Märksõnad:
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. 
1. Desires Objectives, Purposes of Automation in Clinical Microbiology

2. Common Techniques used for automated diagnosis in medical microbiology

3. Automation Techniques in Aerobic Bacteriology

4. Automation Techniques in Anaerobic Bacteriology

5. Automation Techniques in Mycobacteriology

6. Automation Techniques in Medical Mycology

7. Automation Techniques in Clinical Virology

8. Automation Techniques in Parasitology

9. Automation Techniques in Immunological Disorders

10. Automation Techniques in Tropical Diseases

11. Automation Techniques in Hospital Acquired Infections

12. Automation Techniques in Emerging Infectious Diseases

13. Quality and Controls in Automation Techniques

14. Obstacles of Conventional to Automation in Clinical Microbiology

15. The Disadvantages of Automation in Clinical Microbiology

16. Future Development of Automated Techniques for Clinical Microbiology


Dr. Sunil Kumar is currently Professor at the Mahayogi Gorakhnath University Gorakhpur, Gorakhpur (Uttar Pradesh), India. His research interests include genetic engineering, molecular biology, and medical microbiology, mainly focused on molecular characterization of bacterial biofilm and drug development and inflammatory bowel diseases. Dr. Sunil has authored more than 60 peer-reviewed articles and 20 book chapters and edited one book for springer. 

Dr. Awanish Kumar is an Assistant Professor in the Department of Biotechnology, National Institute of Technology, Raipur (CG), India. The primary research areas of Dr. Kumar are antimicrobial resistance, drug discovery, and healthcare. Dr. Kumar has served various national and international organizations with different academic/research capacities. With h-index-28, he has published more than 134 research papers in SCI journals. He is the author of several monographs/books/chapters and gives his active/propercontribution to academics and research. He serves on many national committees, scientific society, and advisory panels.