Computer Vision and Sensors Innovations for Microscopy Imaging Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 17773
Special Issue Editors
Interests: computer vision; microscopy and imaging; 3D cell cultures; software development; machine learning
Interests: customization and content-based information processing for data and knowledge representation; semantic web technologies; personalized environments; heterogeneous data integration from IoT devices
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; microscopy and imaging; single-cell analysis; software development; machine learning
Interests: artificial intelligence; machine learning; multiomic data; complex systems; neural networks; biophysics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
It is well known that microscopy imaging innovations pave the way for discoveries in biology, medicine, engineering, and many other disciplines of health and industrial research. In this scenario, computer vision and sensors are the driving force for innovative imaging applications leading to new microcopy opportunities.
This Special Issue, entitled: "Computer Vision and Sensors Innovations for Microscopy Imaging Applications" aims to explore the scientific-technological frontiers that characterize the microscopy scenario. It seeks original, previously unpublished research and review articles empirically addressing key issues and challenges related to the methods, implementation, results, and evaluation of novel approaches and technologies in the field of microscopy imaging.
Dr. Filippo Piccinini
Dr. Antonella Carbonaro
Prof. Dr. Peter Horvath
Prof. Dr. Gastone C. Castellani
Guest Editors
Manuscript Submission Information
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Keywords
- computer vision
- microscopy
- novel imaging and sensing
- imaging technology for biomedical applications
- software development
- machine learning
- deep learning
- segmentation, tracking, and classification
- image processing
- signal processing
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