Syngene has released GeneTools V4 (a) 1D gel image analysis software including new rapid, accurate band matching features.
Syngene has released new software and validation information for its Dyversity, G:BOX and GeneGnome range of image analysis systems.
Syngene has updated its image acquisition software, GeneSnap Version 7.02, which is available free of charge to GeneSnap customers.
Syngene has released its Dymension software for automated 2D protein gel analysis, which now includes common spot outlines, a revolutionary algorithm for automatically detecting presence or absence of proteins in large data sets.
Syngene, which manufactures image-analysis solutions, has introduced a new range of GeneGnome automated image analysers, designed for imaging chemiluminescent samples.
The new system comes complete with a 16-bit cooled camera inside a compact, light-tight cabinet, and a new white-light source for the added flexibility of imaging coloured markers. The camera is fully integrated to a processor and flat-screen monitor for easy viewing and offers fast and accurate molecular weight analysis.
Elsevier and ExactCure recently announced a collaboration to develop and offer to hospitals – without charge – drug-specific exposure models for 20 already approved medicines that are being tested as potential treatments for Covid-19.
With the world’s focus on the COVID-19 pandemic, LIMS providers are working to develop solutions tailored to assist in the testing and management of virus samples.
Researchers at Harvard Medical School (HMS) have released an open source drug discovery platform, VirtualFlow, that harnesses supercomputing power to screen potentially billions of small organic compound structures in parallel, in the hunt for promising new drug molecules.
When designing a component or system, where do you start? In days gone by, designers would literally go back to the drawing board, using their experience and expertise to develop a new concept.
Effective utilisation of computing tools is critical to both AI and HPC research, with recent projects in both fields highlighting the scientific benefit of carefully managing resources.
Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman.
