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Image Processing with ImageJ. Extract and analyze data from complex images with ImageJ, the world’s leading image processing tool Jurjen Broeke, Javier Pascau, Jose Maria Mateos-Perez

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Image Processing with ImageJ. Extract and analyze data from complex images with ImageJ, the world’s leading image processing tool Jurjen Broeke, Javier Pascau, Jose Maria Mateos-Perez - okladka książki

Image Processing with ImageJ. Extract and analyze data from complex images with ImageJ, the world’s leading image processing tool Jurjen Broeke, Javier Pascau, Jose Maria Mateos-Perez - okladka książki

Autorzy:
Jurjen Broeke, Javier Pascau, Jose Maria Mateos-Perez
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
256
Dostępne formaty:
     PDF
     ePub
     Mobi

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Advances in image processing have been vital for the scientific and technological communities, making it possible to analyze images in greater detail than ever before. But as images become larger and more complex, advanced processing techniques are required. ImageJ is built for the modern challenges of image processing – it’s one of the key tools in its development, letting you automate basic tasks so you can focus on sophisticated, in depth analysis.
This book demonstrates how to put ImageJ into practice. It outlines its key features and demonstrates how to create your own image processing applications using macros and ImageJ plugins. Once you’ve got to grips with the basics of ImageJ, you’ll then discover how to build a number of different image processing solutions. From simple tasks to advanced and automated image processing, you’ll gain confidence with this innovative and powerful tool – however and whatever you are using it for.

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O autorach książki

Jurjen Broeke has a PhD in neuroscience from Vrije Universiteit (VU) Amsterdam and uses live-cell imaging techniques to study the fundamental processes of neuronal function. As a neuroscientist, he studies the processes involved in neural communication. Besides acquiring images, Jurjen also develops software to analyze dynamics in ImageJ, MATLAB, and R. When not enjoying the outdoors and taking pictures, he develops technical hardware and software solutions in the Department of Functional Genomics at VU.
Javier Pascau received his PhD from Polytechnic University in Madrid in 2006 and is currently a visiting professor at Carlos III University, Madrid. He has been a part of Biomedical Imaging and Instrumentation Group, a research laboratory with a multidisciplinary team of engineers, physicists, biologists, and physicians located both in the university as well as Hospital General Universitario Gregorio Maran (biig.uc3m.es). Javier's research and teaching cover areas such as medical image processing, analysis, quantification, and multimodal registration, both in preclinical and clinical environments. He has been involved in the development of small animal PET and CT devices. In the last few years, Javier has led several projects on intraoperative radiation therapy and image-guided surgery. He has authored more than 40 papers published in peer-reviewed journals over the last 15 years.
José María Mateos Pérez is a Spanish postdoctoral fellow at the Montreal Neurological Institute (https://www.mcgill.ca/neuro/), where his main research lines deal with neurodevelopment and machine learning applied to clinical prediction. He has also been an experienced ImageJ user and has developed several macros and plugins. One of them, jClustering, has been published in PLOS ONE, a peer-reviewed journal. When he has enough time to procrastinate, he also likes to develop data analysis tools in Python and R.

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