Yokogawa Fluid Imaging Technologies, Inc. manufactures industry-leading particle analysis instrumentation based on digital imaging technology. Our flagship product, the FlowCam, is the first automated particle analysis instrument to use digital imaging for measuring size and shape of microscopic particles in a fluid medium. With applications in oceanographic research, municipal water, biopharmaceutical formulations, chemicals, oil and gas, biofuels and many other markets, YFT continues to lead the way in imaging particle analysis.
The FlowCam is in use by the U.S. EPA, FDA, Pfizer, Amgen, Heinz, Nestle, Apache, and Scripps Institution of Oceanography, among hundreds of other organizations in over 40 countries and on every continent.
In 2013, Fluid Imaging Technologies earned the Robert R. Masterton Award for Economic Development from the Portland Regional Chamber of Commerce. Check out the video created for the ceremony below.
Monitoring for Taste and Odor Algae with the FlowCam
Using FlowCam for Manufacturing and R&D Cleanliness Measurement
FlowCam® and Yeast Viability Measurements
Flow Imaging Microscopy Reveals Particles Missed by DLS and NTA
Using Particle Shape Analysis to Ensure Quality Control Measures Across Different Industries
Fiber Analysis and Flow Imaging Microscopy
Flow Imaging Microscopy: Characterizing Column Packing Materials
FlowCam® 8000 Series for Particle Analysis
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.
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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.