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Smart biolabs of the future

Beutel, Sascha.

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Smart biolabs of the future

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart biolabs of the future/ edited by Sascha Beutel, Felix Lenk ; with contributions by M. Arnold ... [et al.].
other author:	Beutel, Sascha.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	x, 207 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Biotechnology laboratories. -
Online resource:	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

Smart biolabs of the future
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245 0 0 $a Smart biolabs of the future $h [electronic resource] / $c edited by Sascha Beutel, Felix Lenk ; with contributions by M. Arnold ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a x, 207 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in biochemical engineering/biotechnology, $x 1616-8542 ; $v 182
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.
650 0 $a Biotechnology laboratories. $3 3605449
650 0 $a Bioengineering. $3 657580
650 1 4 $a Chemical Bioengineering. $3 3591613
650 2 4 $a Computational and Systems Biology. $3 3531279
650 2 4 $a Industrial Automation. $3 3591948
650 2 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Biotechnology. $3 571461
700 1 $a Beutel, Sascha. $3 3605445
700 1 $a Lenk, Felix. $3 3605446
700 1 $a Arnold, M., $e contributor. $3 3605447
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Advances in biochemical engineering/biotechnology ; $v 182. $3 3605448
856 4 0 $u https://doi.org/10.1007/978-3-031-12582-9
950 $a Chemistry and Materials Science (SpringerNature-11644)