Literature DB >> 35091814

Human-Device Interaction in the Life Science Laboratory.

Robert Söldner1, Sophia Rheinländer2, Tim Meyer3,4, Michael Olszowy5, Jonas Austerjost6.   

Abstract

The interaction of the human user with equipment and software is a central aspect of the work in the life science laboratory. The enhancement of the usability and intuition of software and hardware products, as well as holistic interaction solutions are a demand from all stakeholders in the scientific laboratory who desire more efficient workflows. Shorter training periods, parallelization of workflows, improved data integrity, and enhanced safety are only a few advantages innovative intuitive human-device-interfaces can bring. With recent advances in artificial intelligence (AI), the availability of smart devices, as well as unified communication protocols, holistic interaction solutions are on the rise. Future interaction in the laboratory will not be limited to pushing mechanical buttons on equipment. Instead, the interplay between voice, gestures, and innovative hard- and software components will drive interactions in the laboratory into a more streamlined future.
© 2022. The Author(s), under exclusive license to Springer Nature Switzerland AG.

Entities:  

Keywords:  Artificial intelligence; Human–device interaction; Natural user interfaces; Smart devices

Mesh:

Year:  2022        PMID: 35091814     DOI: 10.1007/10_2021_183

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.768


  55 in total

Review 1.  Overview on robotics in the laboratory.

Authors:  M J Wheeler
Journal:  Ann Clin Biochem       Date:  2007-05       Impact factor: 2.057

2.  The first 110 years of laboratory automation: technologies, applications, and the creative scientist.

Authors:  Kevin Olsen
Journal:  J Lab Autom       Date:  2012-08-14

Review 3.  Mobile apps for chemistry in the world of drug discovery.

Authors:  Antony J Williams; Sean Ekins; Alex M Clark; J James Jack; Richard L Apodaca
Journal:  Drug Discov Today       Date:  2011-09-06       Impact factor: 7.851

4.  A review of electronic laboratory notebooks available in the market today.

Authors:  Michael Rubacha; Anil K Rattan; Stephen C Hosselet
Journal:  J Lab Autom       Date:  2010-03-05

5.  Hybrid physics-based and data-driven modeling for bioprocess online simulation and optimization.

Authors:  Dongda Zhang; Ehecatl Antonio Del Rio-Chanona; Panagiotis Petsagkourakis; Jonathan Wagner
Journal:  Biotechnol Bioeng       Date:  2019-07-26       Impact factor: 4.530

6.  A low-cost, open-source digital stripchart recorder for chromatographic detectors using a Raspberry Pi.

Authors:  Samuel W Foster; Michael J Alirangues; Joseph A Naese; Eric Constans; James P Grinias
Journal:  J Chromatogr A       Date:  2019-04-01       Impact factor: 4.759

7.  FINDUS: An Open-Source 3D Printable Liquid-Handling Workstation for Laboratory Automation in Life Sciences.

Authors:  Fabian Barthels; Ulrich Barthels; Marvin Schwickert; Tanja Schirmeister
Journal:  SLAS Technol       Date:  2019-09-20       Impact factor: 3.047

8.  An NIR-based PAT approach for real-time control of loading in Protein A chromatography in continuous manufacturing of monoclonal antibodies.

Authors:  Garima Thakur; Vishwanath Hebbi; Anurag S Rathore
Journal:  Biotechnol Bioeng       Date:  2019-12-11       Impact factor: 4.530

9.  Robotic integration enables autonomous operation of laboratory scale stirred tank bioreactors with model-driven process analysis.

Authors:  Holger Morschett; Niklas Tenhaef; Johannes Hemmerich; Laura Herbst; Markus Spiertz; Deniz Dogan; Wolfgang Wiechert; Stephan Noack; Marco Oldiges
Journal:  Biotechnol Bioeng       Date:  2021-05-03       Impact factor: 4.530

10.  Highly Versatile Cloud-Based Automation Solution for the Remote Design and Execution of Experiment Protocols during the COVID-19 Pandemic.

Authors:  Piero Zucchelli; Giorgio Horak; Nigel Skinner
Journal:  SLAS Technol       Date:  2020-11-19       Impact factor: 3.047

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