AMETEK Electronic Components and Packaging is the world leading producer of end to end electronic packaging solutions for harsh environments and reliability sensitive applications. AMETEK ECP delivers superior value engineered products that enable our customers’ success.
AMETEK ECP offers integrated engineering and manufacturing solutions for high performance electronic and optical packaging, protection, and interconnectivity.
AMETEK ECP is a world leader in a wide range of material technologies, including: metals, glass, ceramics, and plastics. AMETEK ECP has the unique expertise required to design, custom manufacture, and scale tailored solutions using any material or combination of materials a specific application may require.
Bringing together best in class design capability, worldwide volume manufacturing, and field proven ability to get the job done across a wide range of industries; AMETEK ECP is the solution provider of choice when survival is important in difficult environments.
For more than 65 years, AMETEK has been the clear leader in demanding application markets:
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.