#StillGrowing #WeAreHiring ?? #Sensofar is looking for a Project Research Associate! Join our team!… https://t.co/WHHmZi00wL
Jul 27 2022 3:48am
#SensoPRO can perform a large number of actions in parallel, resulting in higher overall system performance and mak… https://t.co/JptmQk7lTY
Jul 21 2022 5:23am
RT @FATAPUERCA: En la residencia Gil de Siloé @sensofar ha traído microscopios innovadores para que puedan probar los/as investigadores/as.…
Jul 14 2022 3:18am
Sensofar is a leading-edge technology company that has the highest quality standards within the field of surface metrology. Sensofar Metrology provides high-accuracy optical profilers based on confocal, interferometry, and focus variation techniques, from standard setups for R&D and quality inspection laboratories to complete noncontact metrology solutions for in-line production processes.
The Sensofar headquarters are located in Barcelona and the Group is represented in over 30 countries, with sales offices in Asia, United States, and Germany.
Sensofar, the Leading-Edge Technology Group within the Surface Optical Metrology Field, Celebrates 20 Years of Business
Sensofar: 20 Year Anniversary
Sensofar: Reflecting on 20 Years
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.