The August 2017 issue of SLAS TECHNOLOGY (formerly the Journal of Laboratory Automation) showcases 10 new reviews and original research reports that illustrate how the progression of research assays from qualitative outputs toward increasingly sensitive quantitative outputs is transforming life sciences and biomedical research and diagnostics by improving the ability of researchers and clinicians to detect and quantify increasingly complex assays.
Anchored by an in-depth, two-part review of digital assays by Amar S. Basu, Ph.D., of Wayne State University (Detroit, MI), the collection of papers presented in this special issue report improvements in assay design, such as data partitioning, and demonstrate how these improvements are enabling quantification of rare mutations in increasingly smaller sample volumes, quantitative single cell analysis of a range of other molecular biological outputs and more comprehensive analysis of heterogeneous populations as well as rare biological samples
Papers in this issue also share insight into how the integration of microfluidic technologies into all aspects of assay development, sample collection, sample trapping and detection is improving a wide range of life sciences and biomedical research applications. Examples include improved label-free detection of molecule-protein interactions with increased sensitivity as well as a 10x increase in array sample size by using flow cells in microscope slide; improved mechanobiological studies by improving control of external force input, such as regulation of extracellular matrix stiffness; improved tissue dissection and sample processing to improve analysis of smaller sample sizes in quantitative assays related to cancer diagnostics, developmental biology and drug screening.
Advances in quantitative analysis reported in this issue document accurate detection of species-specific ribosomal RNA through electrochemical biosensors to improve detection of blood bacterial infections; how sensor design can allow for equipment-free diagnostic devices against other infectious diseases with high sensitivity; and how current implementation of miniaturization technology paired with improved imaging analysis software allows for quantitative phenotypic analysis of increasingly complex samples, such as 3D spheroids, in high-throughput drug screening applications.
Visit SLAS TECHNOLOGY Online to read the special issue and listen to a podcast with author Amar S. Basu, Ph.D. SLAS TECHNOLOGY is one of two MEDLINE-indexed scientific journals published by SLAS. For more information about SLAS and its journals, visit http://www.slas.org/journals.
About our Society and Journals
SLAS (Society for Laboratory Automation and Screening) is an international community of more than 27,000 individual scientists, engineers, researchers, technologists and others from academic, government and commercial laboratories. The SLAS mission is to be the preeminent global organization providing forums for education and information exchange and to encourage the study of, and improve the practice of life sciences discovery and technology.
SLAS DISCOVERY: 2016 Impact Factor 2.444. Editor-in-Chief Robert M. Campbell, Ph.D., Eli Lilly and Company, Indianapolis, IN (USA). SLAS Discovery (Advancing Life Sciences R&D) was previously published (1996-2016) as the Journal of Biomolecular Screening (JBS).
SLAS TECHNOLOGY: 2016 Impact Factor 2.850. Editor-in-Chief Edward Kai-Hua Chow, Ph.D., National University of Singapore (Singapore). SLAS Technology (Translating Life Sciences Innovation) was previously published (1996-2016) as the Journal of Laboratory Automation (JALA).
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SLAS TECHNOLOGY Translating Life Sciences Innovation