The latest cellSens software release, version 1.8, is aimed at offering flexible and user-centric imaging, processing, analysing and reporting
Olympus has announced the release of its Count and Measure Solution module for the cellSens Dimension software suite
Olympus has released its Database Solution module for the cellSens Dimension software suite
The new Multichannel 5D Solution module for Olympus cellSens Dimension software simplifies microscopy experiments by providing advanced, automated acquisition of Z-stacks, multiple fluorescence channels and time-lapse series
Olympus has introduced its CellSens software for life science imaging applications, consisting of three packages: CellSens Entry, CellSens Standard and CellSens Dimension
Olympus has introduced a new pathology test request management system, RequestVision, to streamline the process of medical testing. The software reduces administration time and improves test turnaround times.
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.
