December SLAS Technology Feature Article no


image: This is the cover of SLAS Technology.
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that of december SLAS technology The cover article features University of Wisconsin research, “Automated System for Processing of Single Particles with Small Population Activated by Proprietary Liquid Repellency”

Oak Brook, Illinois – Next month SLAS technology presents the cover article, “Automated System for Single Particle Processing for Small Populations Activated by Proprietary Liquid Repellency,” describing research by Chao Li, Ph.D., (University of Wisconsin-Madison, United States). United). In the article, Li and his team describe how they combined a robotic liquid manipulator, an automated microscopic imaging system, and real-time image processing software for identifying single particles to create a flat -automated form using proprietary liquid repellency (ELR) microdrops for single -particle isolation, identification and recovery.

As the use of single-celled applications has become important for the study of cancer heterogeneity, developmental biology, neurobiology, and immunology, there is also an increased interest in identification and isolation of specific single cells from a heterogeneous biological sample to discover its unique traits and heterogeneity. . However, this isolation remains difficult due to the large sample volume and number of cells required, which could hamper the isolation of single cells and make them unsuitable for rare cell applications such as circulating tumor cell research ( CTC).

As single cell printing techniques that handle smaller sample sizes have developed over time, sample loss remains a problem due to the difficulty of using traditional handling and storage equipment. single liquid phase liquids such as multiwell plates. Although a variety of specialized multi-liquid phase platforms have been developed to efficiently handle small amounts of cellular samples without significant liquid loss, they are generally based on a closed system design that makes access difficult. external for handling and retrieving individual cells and remains extremely expensive.

Li, with David J. Niles, Ph.D., Duane S. Juang, Ph.D., Joshua M. Lang, Ph.D., and David J. Beebe, Ph.D., (University of Wisconsin-Madison , USA), has developed an automated platform using ELR microdrops for single cell lossless isolation, identification and recovery. It combines the use of a robotic liquid manipulator, automated microscopic imaging system and real-time image processing software for single particle identification and enables rapid isolation, hands-free and robust microdrop-encapsulated rare cell samples and further on chip cell culture or downstream analysis. This application is distinct from other anti-liquid systems and has shown no compromise in adhesion of liquids to solid surfaces allowing unique applications.

Chao Li obtained his doctorate. in physical chemistry from the National Center for Nanoscience and Technology (China) in 2010. His postdoctoral research included microfluidic systems and applications in biomedicine, including processing of single-cell samples, in vitro organotypic model, biofilm dynamics, antimicrobial pharmacodynamics, multispecies microbial communities and host-microbe interactions.


To read the entire month of December SLAS technology cover story, available until December 20, visit until December 20. For more information on SLAS and its reviews, visit

SLAS (Society for Laboratory Automation and Screening) is an international community of 16,000 professionals and students dedicated to life science discovery and technology. SLAS’s mission is to bring together researchers from academia, industry and government to advance life science discovery and technology through education, knowledge exchange and community building. global.

SLAS technology: translation of innovation in life sciences, impact factor 2018 2.048. 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).

SLAS discovery: advancing R&D in life sciences, impact factor 2018 2.192. 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) under the name of Journal of Biomolecular Screening (JBS).

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