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Life sciences assay developments and sustainability progress

10.30.23 | SLAS (Society for Laboratory Automation and Screening)

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A rapid, high-throughput, viral infectivity assay using automated brightfield microscopy with machine learning
Fig. 1AVIA workflow in training (A), and conducting an assay (B) using a trained model. After the cells are infected and incubated, the remainder of the process is entirely automated improving reliability, cost, and scaling potential. The process begins in the lab with an automated plate imager and an upload of the images to the ViQi cloud platform. The ViQi platform is designed around analysis modules (blue boxes) arranged into computational workflows. In the training phase, uploaded images are Credit: Dodkins et al.

Oak Brook, IL – Volume 28, Issue 5 of SLAS Technology , includes two review articles, six original research articles and one short communication on assay development with machine learning, novel laboratory automation systems and other areas of life sciences research.

Access to the October 2023 issue of SLAS Technology is available at https://slas-technology.org/issue/S2472-6303(23)X0006-5

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SLAS Technology reveals how scientists adapt technological advancements for life sciences exploration and experimentation in biomedical research and development. The journal emphasizes scientific and technical advances that enable and improve:

SLAS (Society for Laboratory Automation and Screening) is an international professional society of academic, industry and government life sciences researchers and the developers and providers of laboratory automation technology. The SLAS mission is to bring together researchers in academia, industry and government to advance life sciences discovery and technology via education, knowledge exchange and global community building.

SLAS Technology: Translating Life Sciences Innovation, 2022 Impact Factor 2.7. Editor-in-Chief Edward Kai-Hua Chow, Ph.D., National University of Singapore (Singapore

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SLAS TECHNOLOGY

Additional Media

Improving protein therapeutic development through cloud-based data integration
Overview of Lab Data Capture (LDC) Workflow Implementation. LDC supports file ingestion from multiple data sources including analytical instruments, data historians and ELN/LIMS. After ingestion, source data is stored, harmonized, and indexed to enable API search. Data consumer products like web applications, statistical packages, and ELN/LIMS can then search and query data for downstream analysis. The dark and light blue boxes indicate the features of LDC implemented in this case study. Credit: Van Den Driessche et al.

Keywords

Assays High Throughput Screening Life Sciences

Article Information

Journal
SLAS TECHNOLOGY

Contact Information

Jill Hronek
SLAS (Society for Laboratory Automation and Screening)
JHRONEK@SLAS.ORG

Source

Original Source
https://www.slas-technology.org/issue/S2472-6303(23)X0006-5

How to Cite This Article

APA:
SLAS (Society for Laboratory Automation and Screening). (2023, October 30). Life sciences assay developments and sustainability progress. Brightsurf News. https://www.brightsurf.com/news/86ZQEZR8/life-sciences-assay-developments-and-sustainability-progress.html
MLA:
"Life sciences assay developments and sustainability progress." Brightsurf News, Oct. 30 2023, https://www.brightsurf.com/news/86ZQEZR8/life-sciences-assay-developments-and-sustainability-progress.html.