Our European Technical Director, Paul Paterson, talks with @FSNewsUK about the importance of service and our accele… https://t.co/fyXNWQneEZ
Aug 17 2022 9:10am
“Column cleanups haven’t really changed since 1991 when we used floppy disks. We don’t use those now, so why use th… https://t.co/XgxQI9adKK
Aug 17 2022 7:53am
The CytoFLEX SRT cell sorter features time-saving automation not previously seen in a benchtop platform:
• Facilit… https://t.co/hjziBeshvD
Aug 16 2022 3:29am
Beckman Coulter Life Sciences is dedicated to empowering discovery and scientific breakthroughs. The company’s global leadership and world-class service and support delivers sophisticated instrument systems, reagents and services to life science researchers in academic and commercial laboratories, enabling new discoveries in biology-based research and development.
A leader in centrifugation and flow cytometry, Beckman Coulter has long been an innovator in particle characterization and laboratory automation, and its products are used at the forefront of important areas of investigation, including genomics and proteomics.
Calibration Requirements for Determining Particle Size Distribution Using Light Interaction Methods
The Thermo Scientific™ ARL™ EQUINOX 3000 X-ray Diffractometer for research enables accurate measurements.
KLA’s Filmetrics F40 allows you to transform your benchtop microscope into an instrument to measure thickness and refractive index.
This product profile describes the properties and applications of the ProMetric® I-SC Solution Imaging Colorimeter.
Dr. David Dung
We spoke with University of Bonn spin-off Midel Photonics, a start-up company whose laser beam shaping technology is hoping to sharpen up the laser industry.
Matthias Sachsenhauser, Ph.D.
Following Laser World of Photonics 2022, we spoke with Matthias Sachsenhauser from Hamamatsu Photonics about the role of laser-driven light sources in the future of the photonics sector.
Dr. Keith Paulsen
AZoOptics speaks to Dr. Keith Paulsen about the importance of breast cancer detection and the introduction of his team's deep-learning algorithm that associates spatial images of tissue optical properties with optical signal patterns measured during an imaging experiment or patient exam.