Optical spine and posture analysis with uEye industrial cameras
The DIERS formetric product family provides answers to a wide range of clinical questions concerning the objective and quantitative analysis of body statics and posture
The DIERS formetric product family provides answers to a wide range of clinical questions concerning the objective and quantitative analysis of body statics and posture
Watch leading scientists online, February 15, to discover the latest analytical tools and techniques for life sciences, biopharma, materials and more
Discover the latest tools and techniques to expand your research capacity with expert-led presentations on AI image analysis, CRISPR reagents, cell morphology, cancer research, and more
Emmes has announced its role as a Data Coordinating Center on a team whose work has accelerated paediatric COVID-19 research
University of Manchester researchers have developed an approach that could revolutionize the production of pharmaceuticals and other valuable chemicals
The automation platforms from Agilent Technologies deliver powerful solutions to meet customers needs
New instrument helps maximize lab productivity and extends FTIR to large and heavy samples
Advance your biopharma research with this free compendium of expert tips, tricks, and advice
In this on-demand webinar, Dr. James Evans describes how he generates imaging data from physiologically relevant cell models.
This grant helps develop CRISPR quality control standards for therapeutics applications in this groundbreaking area of science.
Volume 27, Issue 1 of SLAS Discovery is the first issue to be published Open Access in partnership with SLAS’s new publisher, Elsevier
Watch this on-demand webinar to learn how to select the right reference materials for your lab and improve the accuracy of your testing
Waters has acquired technology assets and intellectual property rights of Megadalton Solutions, an early-stage developer of charge detection mass spectrometry (CDMS).
The new research describes a minimally invasive and inexpensive blood test that could identify cancer in patients with non-specific symptoms
The machine learning algorithm aims to assist anesthesiologists