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International Workshop on Microscope Image Processing (MIP 2021) - MIP 2021

6 - 8 July, 2021

In conjunction with the 18th International Conference on Signal Processing and Multimedia Applications - SIGMAP 2021


Alessandro Ortis
University of Catania, Department of Mathematics and Computer Science
Brief Bio
Alessandro Ortis is a post-doc researcher at the University of Catania. He has been working in the field of Computer Vision research since 2012, when he joined to the IPLab (Image Processing Laboratory). In 2015 Alessandro was awarded with the Archimede Prize for the excellence of academic career conferred by the University of Catania. In January 2019 he has achieved the PhD in Mathematics and Computer Science, with a PhD Thesis entitled “Methods for Sentiment Analysis and Social Media Popularity of Crowdsourced Visual Contents”. The thesis investigates several aspects related to Visual Sentiment Analysis, applied on crowdsourced images and videos. His PhD has been granted by TIM – Telecom Italia. The main goal of the presented works is to infer the users' preferences by exploiting the crowdsourcing paradigm, as well as to predict the impact of visual contents shared through social media networks. Alessandro spent a part of his PhD as a Visiting Researcher at the Imperial College in London, during which he addressed problems related to the assessment of social influencer advertising campaigns performed through social media. His research interests lie in the fields of Computer Vision, Machine Learning and Multimedia. Alessandro is reviewer for several International Conferences and Journals.
Sebastiano Battiato
University of Catania
Brief Bio
Sebastiano Battiato is a full professor of Computer Science at the University of Catania. He received his degree in Computer Science (summa cum laude) in 1995 from the University of Catania and his Ph.D. in Computer Science and Applied Mathematics from the University of Naples in 1999. From 1999 to 2003 he was the leader of the “Imaging” team at STMicroelectronics in Catania. He joined the Department of Mathematics and Computer Science at the University of Catania in 2004 (respectively as assistant professor, associate professor in 2011 and full professor in 2016). He has been Chairman of the Undergraduate Program in Computer Science (2012-2017), and Rector's delegate for Education: postgraduates and Phd (2013-2016). He is currently the Scientific Coordinator of the PhD Program in Computer Science at the University of Catania. He is involved in research and directorship of the IPLab research lab (http://iplab.dmi.unict.it). He coordinates IPLab’s participation on large scale projects funded by national and international funding bodies, as well as by private companies. Prof. Battiato has participated as principal investigator in many international and national research projects. His research interests include Computer Vision, Imaging technology and Multimedia Forensics. He has edited 6 books and co-authored about 200 papers in international journals, conference proceedings and book chapters and has also been a guest editor of several special issues published in International Journals. He is also co-inventor of 22 international patents, reviewer for several international journals, and has been a regular member of numerous international conference committees. He has been the Chair of several international events (ICIAP 2017, VINEPA 2016, ACIVS 2015, VAAM2014-2015-2016, VISAPP2012-2015, IWCV2012, ECCV2012, ICIAP 2011, ACM MiFor 2010-2011, SPIE EI Digital Photography 2011-2012-2013, etc.). He is an associate editor of the SPIE Journal of Electronic Imaging and of the IET Image Processing Journal. He is Director (and Co-Founder) of the International Computer Vision Summer School (ICVSS), Sicily, Italy. He is the recipient of the 2017 PAMI Mark Everingham Prize for the series of annual ICVSS schools and of the 2011 Best Associate Editor Award of the IEEE Transactions on Circuits and Systems for Video Technology. He is a IEEE senior member.


Microscope Image Processing concerns the use of digital image processing techniques to acquire, process, analyse and present images obtained from a microscope. Such processing has a crucial role in several fields such as medicine, biology, aerobiology, cancer research, drug testing, metallurgy, among others, with direct and not-direct effects on economy and public health. Modern high-throughput microscopy makes it possible to conduct large-scale, image-based experiments for biological discovery. The main challenge and bottleneck in such experiments is the conversion of large amount of data into semantic information and, hence, insights. This workshop aims to draw more visibility and interest to this challenging field. Authors are invited to submit original and innovative papers.


Topics of interest include, but are not limited to:
  • Microscope Image Acquisition
  • Microscope Image Calibration
  • Microscope Image Stitching and Registration
  • Background Correction and Extraction
  • Object Detection
  • Object Classification
  • Aribone Sample Analysis
  • Shape Analysis
  • Texture Analysis
  • Segmentation
  • Event Detection
  • Object Tracking
  • Image Datasets and Benchmarking


Paper Submission: May 18, 2021
Authors Notification: May 25, 2021
Camera Ready and Registration: May 31, 2021


Lorenzo Ascari, University of Torino, Italy
Francesco Rundo, STMicroelectronics , ADG - Central R&D Group, Italy
Francesca Trenta, University of Catania, Italy


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the workshop program committee, all accepted papers will be published in the workshop proceedings book, under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).


SIGMAP Workshops - MIP 2021
e-mail: sigmap.secretariat@insticc.org