Whitepaper: Characterising astroglia models
This whitepaper describes several live-cell phenotypic analyses suitable for the characterisation of astroglia cells.
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This whitepaper describes several live-cell phenotypic analyses suitable for the characterisation of astroglia cells.
The cell painting assay uses up to six fluorescent dyes to label and visualize a variety of subcellular structures at the single cell level.
In this original report, find an in-depth analysis of AI and informatics within imaging, synthetic biology, drug screening and drug design. Featured interviews with experts from AstraZeneca, Auransa, PolarisQB and Chalmers University of Technology.
The latest edition of the live-cell analysis handbook is a companion guide for live-cell analysis users. Includes discussion of live-cell analysis.
In this interview, read about the compilation of a new high-resolution cell atlas of the mouse brain using spatial genomics and transcriptomics.
Depletion of ATP due to viral-induced CPE leads to a reduction in luminescence signal, enabling quantitation of viral-induced CPE in host cells.
A non-invasive, label-free optical method can produce high-resolution imaging of cellular brain diseases in vivo.
A US team has designed a high-quality, high-speed imaging system that could lead to new understandings of complex tissue specimens.
Scientists have presented a new method for generating the metabolic profiles of cells which could answer questions on conditions such as cancer and liver disease.
Researchers at UT Southwestern have invented a novel microscopy method that could open new avenues of advanced microscopy.
As interest in biotherapeutic proteins grows, the need to reduce cell line development costs and the time to market is more critical than ever.
A study has uncovered previously unknown properties of the Spike protein from the SARS-CoV-2 Alpha and Beta variants.
Solutions to help you understand viral diseases and translate your research findings into better treatments and vaccines.
While researchers conduct their studies, constraints such as time can impact their work. Dr Ian Holland from the University of Edinburgh spoke with Drug Target Review’s Deputy Editor Victoria Rees to explain how lab automation can offer a solution to these challenges and enhance output for scientists.
Scientists have used imaging methods and machine learning to understand cellular metabolism at the single-cell level.