We at Applied Thermal Control aim to bring an innovative approach to the thermal management sector, to provide the highest quality constant temperature equipment possible. We work in cooperation with equipment manufacturers to supply our users with re-circulation chillers, water-water heat exchangers and air blast coolers designed to optimise performance and reliability.
As a company we recognise the importance of superior after sales service and are working towards providing this on a worldwide basis through a network of carefully chosen partners and distributors.
We are proud of our ISO9001:2000 certification, knowing that this reinforces our dedication to quality. We are excited by the rising number of applications in which we can invest our expertise, and look forward to continued growth over the coming years.
ATC chillers are well established in the scientific instrument support markets (electron microscopes, X-ray diffraction, ICPMS etc.), semiconductor process, ophthalmic lens manufacturing equipment, machine tool, and more recently the chillers of choice for commercial digital printing and laser lithography markets worldwide
The TheiaVu™ Series is a range of benchtop inspection systems that allow the user to take a wide variety of measurements, and to record repeatable, reliable data to improve processes.
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.