Bitplane's Imaris 9.3 is a software solution for correlative microscopy, enabling the possibility of opening multiple 2D, 3D or 4D datasets of differing spatial and temporal resolutions in the same scene.
While striving to remain on the cutting edge of scientific discovery, researchers need more agile and powerful computing in order to drive towards a better future for everyone.
A laboratory test using artificial intelligence tools has the potential to more accurately sort out which people with pancreatic cysts will go on to develop pancreatic cancers.
An international challenge compared the diagnostic skills of 511 physicians with 139 computer algorithms from 77 different machine learnings labs.
Two separate sets of European researchers have developed their own artificial intelligence methods to identify rare diseases, for which obtaining a definitive diagnosis can be difficult and time-consuming.
A multi-institutional, multimillion-dollar project to understand how antimicrobial-resistant bacteria spread, and to develop new ways to combat it, has won a $1 million grant.
Sartorius Stedim Data Analytics has announced SIMCA 16 software for multivariate data analytics. The updated SIMCA focuses on delivering a complete data analysis experience, from data organisation through to data-driven decision-making, supported by multivariate models for single and multiblock analysis.
German researchers are currently involved in an interdisciplinary and multi-institutional project aimed at making automated diagnoses from a software program more transparent.
Developed by start-up company Lookinglass, the app is designed to reduce the number of physical appointments required with doctors and occupational therapists.
The automated system is able to successfully identify between diseased and non-diseased eye tissue, in real time, through a simple scanning process.
The AstroQuest citizen science project seeks volunteers to study images of galaxies and figure out which light is coming from which galaxy.
Researchers have created a method to take genome analysis 'offline' by adapting a computer algorithm that can perform accurate analysis — with far less computer memory than current programs.
Designed for integrated use with the ProtoCOL 3 colony counter, the Ames software module facilitates rapid production of consistent count and ratio data from Ames test plates and is suitable for use in regulated toxicology testing laboratories.