Automation for Life Science Laboratories

Thurow, Kerstin

doi:10.1007/10_2021_170

Cited by 3 publications

(12 citation statements)

References 18 publications

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“…In order for data to be reusable they need to be rich in metadata and descriptive documentation on the circumstances in which the data were generated. Rich metadata should ideally describe the data in a meaningful way including the setup and context of the experiment, technical setting, and information about the provenance [8,18,[21][22][23].…”

Section: Fair Datamentioning

confidence: 99%

“…In order to make data gathering faster, simpler, and more accurate a complete transition to automated data capture has to be made [ 26 ]. This includes data flow from a whole bioprocess including sampling, sample preparation, measurement, and data analysis [ 8 ]. When transitioning from analog to digital data it is important to take the laboratory users needs into consideration.…”

Section: Basic Concepts Of Digitalizationmentioning

confidence: 99%

“…Stationary robots are usually fixed to a place in the laboratory, cannot change their location by themselves thus being mainly used to execute clear and repetitive workflows. Mounting it on rails gives it added spatial flexibility increasing their potential application possibilities [ 8 ]. Mobile robots are taking on the task of transporting objects or samples inside the laboratory using their sensors, actuators, and information processing for navigation [ 8 , 62 ].…”

Section: Digitalization Strategiesmentioning

confidence: 99%

“…Mounting it on rails gives it added spatial flexibility increasing their potential application possibilities [ 8 ]. Mobile robots are taking on the task of transporting objects or samples inside the laboratory using their sensors, actuators, and information processing for navigation [ 8 , 62 ]. These mobile robots might even be drones in the future that use the air space in laboratories as transportation routes [ 8 ].…”

Section: Digitalization Strategiesmentioning

confidence: 99%

“…Digitalization refers to an entire process, workflow, or laboratory infrastructure while digitization refers only to the procedure of converting something analog to a digital format (e.g., digitizing a standard operating procedure from a piece of paper to a digital file) [ 5 , 6 ]. Working in digital laboratories has the potential of error reduction, prevention of data loss, improved data integrity, faster workflow development times, possible reduction of chemicals and materials and higher sample throughput leading to modern, transparent and reproducible research and biomanufacturing [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ]. Developing a digitalization strategy for an academic bioprocess laboratory is an interdisciplinary task.…”

Section: Introductionmentioning

confidence: 99%

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Digitalization concepts in academic bioprocess development

Habich,

Beutel

2024

Engineering in Life Sciences

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Digitalization with integrated devices, digital and physical assistants, automation, and simulation is setting a new direction for laboratory work. Even with complex research workflows, high staff turnover, and a limited budget some laboratories have already shown that digitalization is indeed possible. However, academic bioprocess laboratories often struggle to follow the trend of digitalization. Due to their diverse research circumstances, high variety of team composition, goals, and limitations the concepts are substantially different. Here, we will provide an overview on different aspects of digitalization and describe how academic laboratories successfully digitalized their working environment. The key aspect is the collaboration and communication between IT‐experts and scientific staff. The developed digital infrastructure is only useful if it supports the laboratory worker and does not complicate their work. Thereby, laboratory researchers have to collaborate closely with IT‐experts in order for a well‐developed and maintainable digitalization concept that fits their individual needs and level of complexity. This review may serve as a starting point or a collection of ideas for the transformation toward a digitalized laboratory.

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Section: Fair Datamentioning

confidence: 99%

Section: Basic Concepts Of Digitalizationmentioning

confidence: 99%

Section: Digitalization Strategiesmentioning

confidence: 99%

Section: Digitalization Strategiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Digitalization concepts in academic bioprocess development

Habich,

Beutel

2024

Engineering in Life Sciences

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Can I benefit from laboratory automation? A decision aid for the successful introduction of laboratory automation

Rupp,

Ries,

Wienbruch

et al. 2023

Anal Bioanal Chem

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The large volumes of samples to be analysed every day would be impossible to manage without laboratory automation. As laboratory procedures have progressed, so have the tasks of laboratory personnel. With this feature article, we would like to provide (bio)chemical practitioners with little or no knowledge of laboratory automation with a guide to help them decide whether to implement laboratory automation and find a suitable system. Especially in small- and medium-sized laboratories, operating a laboratory system means having bioanalytical knowledge, but also being familiar with the technical aspects. However, time, budget and personnel limitations allow little opportunity for personnel to get into the depths of laboratory automation. This includes not only the operation, but also the decision to purchase an automation system. Hasty investments do not only result in slow or non-existent cost recovery, but also occupy valuable laboratory space. We have structured the article as a decision tree, so readers can selectively read chapters that apply to their individual situation. This flexible approach allows each reader to create a personal reading flow tailored to their specific needs. We tried to address a variety of perspectives on the topic, including people who are either supportive or sceptical of laboratory automation, personnel who want or need to automate specific processes, those who are unsure whether to automate and those who are interested in automation but do not know which areas to prioritize. We also help to make a decision whether to reactivate or discard already existing and unused laboratory equipment.

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Towards a hybrid model-driven platform based on flux balance analysis and a machine learning pipeline for biosystem design

Wu,

Xu,

et al. 2024

Synthetic and Systems Biotechnology

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Automation for Life Science Laboratories

Cited by 3 publications

References 18 publications

Digitalization concepts in academic bioprocess development

Digitalization concepts in academic bioprocess development

Can I benefit from laboratory automation? A decision aid for the successful introduction of laboratory automation

Towards a hybrid model-driven platform based on flux balance analysis and a machine learning pipeline for biosystem design

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