Special Issue "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: 30 April 2024 | Viewed by 9726
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 It seeks original, previously unpublished research and review articles empirically addressing key issues and challenges related to the methods, implementation, results, and evaluation of novel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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
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
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: DS4H Image Alignment: a user-friendly open-source ImageJ/Fiji plugin for aligning multimodality/IHC/IF 2D microscopy images
Authors: Filippo Piccinini, Marco Edoardo Duma, Marcella Tazzari, Maria Maddalena Tumedei, Giovanni Martinelli, Gastone Castellani and Antonella Carbonaro.
Affiliation: IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
Abstract: Most of the time, the deep analysis of a biological sample requires the acquisition of images at different time points, using different modalities and/or different stainings. This information gives morphological, functional and physiological insights, but the acquired images must be aligned to be then able to proceed with co-localisation analysis. Practically speaking, according to Aristotle's principle “The whole is greater than the sum of its parts”, multi-modal image registration is the challenging task that brings fusing together complementary signals. In the last years, several methods for image registration have been described in the literature, but unfortunately there is no one method that works for all applications. In addition, today there is no user-friendly tool for aligning images without requiring any computer skills. In this work, besides revising all the solutions available for aligning 2D microscopy images, we describe DS4H Image Alignment (DS4H-IA), an open-source ImageJ/Fiji plugin for aligning multimodality, immunohistochemistry (IHC), and/or immunofluorescence (IF) 2D microscopy images, designed with the goal to be extremely easy-to-use.