- Image Processing with ImageJ
- José María Mateos-Pérez Javier Pascau
- 306字
- 2021-08-06 16:56:14
About the Reviewers
Cristina Chavarrías is a telecommunications engineer specialized in medical imaging, in general, and magnetic resonance imaging (MRI), in particular. Her background reaches other imaging modalities and techniques such as nuclear imaging, computed tomography or spectroscopy, and ranges from data acquisition, preprocessing and correction to image processing. Despite being a junior researcher, she has been working for seven years in the Medical Imaging Laboratory at Hospital Gregorio Mara?ón, which offers a privileged view over the latest imaging challenges and allows direct contact with the clinical practice.
Ron DeSpain has been a physicist with over 45 years of experience working for major aerospace and defense companies. Ron has used ImageJ for advanced scientific algorithm development, since it was made available on Macintosh in the early 1990s. Since then it has been rewritten in Java and now runs on all major computers that support the Java virtual machine, making it his program of choice due to its powerful and versatile rapid development environment for signal imagery and video analysis applications. He has developed applications in intelligence analysis, missile guidance, target detection and recognition, 2D/3D imaging, automatic graph reading, remote sensing, sensor fusion, machine vision, image & video analysis, robotics, medical imaging, ultrasonic, x-ray, eddy current, and IR testing and manufacturing automation for more than 20 years.
Dr M Partridge did his BSc in biochemistry from Lancaster university before spending a number of years working for Mediwatch Biomedical, developing a range of point-of-care sensor systems. He then left Mediwatch to join the Cranfield University, where he obtained a Ph.D. in molecular coatings of fibre optic sensors and continued work as a researcher developing a number of optical sensors systems. Matthew's current research is focused on the development of optical sensors both biological applications such as point-of-care testing and industrial VOS sensor systems.
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