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Smart biolabs of the future

Beutel, Sascha.

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Smart biolabs of the future

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Smart biolabs of the future/ edited by Sascha Beutel, Felix Lenk ; with contributions by M. Arnold ... [et al.].
其他作者:	Beutel, Sascha.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	x, 207 p. :ill., digital ;24 cm.
內容註:	Data gathering part -- Automation for Life Science Laboratories -- Evolution of Artificial Intelligence-Powered Technologies -- A Comprehensive IT Infrastructure for an Enzymatic Product Development in a Digitalized Biotechnological Laboratory -- Human-Device Interaction in the Life Science Laboratory -- Flexible Digitization of Highly Individualized Workflows Demonstrated Through the Quality Control of Patient-Specific Cytostatic Application Bags: Digitization from the Perspective of Small and Medium-Sized Laboratories -- Data processing part -- Standards comparison -- Comparison of Laboratory Standards -- SiLA 2: The Next Generation Lab Automation Standard -- Laboratory and Analytical Device Standard (LADS): A Communication Standard Based on OPC UA for Networked Laboratories -- FAIR Data infrastructure.
Contained By:	Springer Nature eBook
標題:	Biotechnology laboratories. -
電子資源:	https://doi.org/10.1007/978-3-031-12582-9
ISBN:	9783031125829

Smart biolabs of the future
Smart biolabs of the future[electronic resource] /edited by Sascha Beutel, Felix Lenk ; with contributions by M. Arnold ... [et al.]. - Cham :Springer International Publishing :2022. - x, 207 p. :ill., digital ;24 cm. - Advances in biochemical engineering/biotechnology,1821616-8542 ;. - Advances in biochemical engineering/biotechnology ;182..

Data gathering part -- Automation for Life Science Laboratories -- Evolution of Artificial Intelligence-Powered Technologies -- A Comprehensive IT Infrastructure for an Enzymatic Product Development in a Digitalized Biotechnological Laboratory -- Human-Device Interaction in the Life Science Laboratory -- Flexible Digitization of Highly Individualized Workflows Demonstrated Through the Quality Control of Patient-Specific Cytostatic Application Bags: Digitization from the Perspective of Small and Medium-Sized Laboratories -- Data processing part -- Standards comparison -- Comparison of Laboratory Standards -- SiLA 2: The Next Generation Lab Automation Standard -- Laboratory and Analytical Device Standard (LADS): A Communication Standard Based on OPC UA for Networked Laboratories -- FAIR Data infrastructure.

This book reviews the advances in data gathering and processing in the biotech laboratory environment, and it sheds new lights on the various aspects that are necessary for the implementation of intelligent laboratory architecture and infrastructure. Smart technologies are increasingly dominating our everyday lives and have become an indispensable part of the industrial environment. The laboratory environment, which has long been rather conservative, has also set out to adapt smart technologies with regards to Industry 4.0 and the Internet of Things (IoT) for the laboratory. Due to the heterogeneity of the existing infrastructure and the often complex work processes, standardization is slow, e.g. to implement device interfaces or standardized driver protocols, which are urgently needed to generate standardized data streams that would be immanent for post-processing of data. Divided into 9 chapters, this book offers an authoritative overview of the diverse aspects in the generation and recording of uniform data sets in the laboratory, and in the processing of the data and enabling seamless processing towards machine learning and artificial intelligence. In the first part of the book, readers will find more about high throughout systems, automation, robotics, and the evolution of technology in the laboratory. The second part of the book is devoted to standardization in lab automation, in which readers will learn more about some regulatory aspects, the SiLA2 standards, the OPC LADS (Laboratory and Analytical Device Standard), and FAIR Data infrastructure.

ISBN: 9783031125829

Standard No.: 10.1007/978-3-031-12582-9doiSubjects--Topical Terms:

3605449
Biotechnology laboratories.

LC Class. No.: TP248.24 / .S53 2022

Dewey Class. No.: 660.6

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505 0 $a Data gathering part -- Automation for Life Science Laboratories -- Evolution of Artificial Intelligence-Powered Technologies -- A Comprehensive IT Infrastructure for an Enzymatic Product Development in a Digitalized Biotechnological Laboratory -- Human-Device Interaction in the Life Science Laboratory -- Flexible Digitization of Highly Individualized Workflows Demonstrated Through the Quality Control of Patient-Specific Cytostatic Application Bags: Digitization from the Perspective of Small and Medium-Sized Laboratories -- Data processing part -- Standards comparison -- Comparison of Laboratory Standards -- SiLA 2: The Next Generation Lab Automation Standard -- Laboratory and Analytical Device Standard (LADS): A Communication Standard Based on OPC UA for Networked Laboratories -- FAIR Data infrastructure.
520 $a This book reviews the advances in data gathering and processing in the biotech laboratory environment, and it sheds new lights on the various aspects that are necessary for the implementation of intelligent laboratory architecture and infrastructure. Smart technologies are increasingly dominating our everyday lives and have become an indispensable part of the industrial environment. The laboratory environment, which has long been rather conservative, has also set out to adapt smart technologies with regards to Industry 4.0 and the Internet of Things (IoT) for the laboratory. Due to the heterogeneity of the existing infrastructure and the often complex work processes, standardization is slow, e.g. to implement device interfaces or standardized driver protocols, which are urgently needed to generate standardized data streams that would be immanent for post-processing of data. Divided into 9 chapters, this book offers an authoritative overview of the diverse aspects in the generation and recording of uniform data sets in the laboratory, and in the processing of the data and enabling seamless processing towards machine learning and artificial intelligence. In the first part of the book, readers will find more about high throughout systems, automation, robotics, and the evolution of technology in the laboratory. The second part of the book is devoted to standardization in lab automation, in which readers will learn more about some regulatory aspects, the SiLA2 standards, the OPC LADS (Laboratory and Analytical Device Standard), and FAIR Data infrastructure.
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