Les commentaires sont clos.

Announcing the 5th SPRINGEROPEN EURASIP JIVP's Free Web conferencing (Mar. 4, 2021) on Image storage on synthetic DNA

1 Mars 2021

Catégorie : Autres événements

Le journal EURASIP J. on Image and Video Processing organise chaque premier jeudi de mois de 12h30 à 13h30 un séminaire en ligne gratuit. Le prochain exposé invité sera donné par M. Antonini et M. Dimopoulou de l'i3S Sophia Antipolis sur le codage d'images sur ADN synthétique.


We hope you can join us on Thursday, March 4th at 12:30pm CET for our next webinar on Image storage on synthetic DNA!

[6:30 a.m. New-York – 12:30 p.m. Paris – 7:30 p.m. Beijing]

To join the webinar, it is required to pre-register. The registration form can be found at:


[Videos of the four first webinars are available online at]


Title: Image storage on synthetic DNA


Storage of digital data is becoming challenging for the humanity due to the relatively short life span of storage devices. Furthermore, the exponential increase in the generation of digital data is creating the need for constantly constructing new resources to handle the storage of this data volume. Recent studies suggest the use of the DNA molecule as a promising novel candidate which can hold 500 (1000 times more than HDD drives). Any digital information can be synthesized into DNA in vitro and stored into special tiny storage capsules that can promise reliability for hundreds of years. The stored DNA sequence can be retrieved whenever needed using special machines that are called the sequencers. This whole process is very challenging as the process of DNA synthesis is expensive in terms of money and sequencing is prone to errors. However, studies have shown that when respecting several rules in the encoding the probability of sequencing error is reduced. Consequently, the encoding of digital information is not trivial, and the input data needs to be efficiently compressed before encoding so that the high synthesis cost is reduced. In this presentation we will talk about the state of the art in DNA data storage for the efficient encoding of digital data into a quaternary code that consists of the 4 DNA bases A (Adenine), T (Thymine), C (Cytosine) and G (Guanine). We will also present a new promising encoding solution of digital images into synthetic DNA we developed over the past 3 years which takes into consideration the needs of DNA data storage while optimizing the trade-off compression quality and synthesis cost.


Marc Antonini received the Ph.D. degree in electrical engineering in 1991 and the “Habilitation à Diriger des Recherches” in 2003, both from the University of Nice-Sophia Antipolis (France). He was a postdoctoral fellow at the Centre National d’Etudes Spatiales (CNES, Toulouse, France), in 1991 and 1992. He joined the CNRS in 1993 at the I3S laboratory of University Côte d’Azur and he is “Directeur de Recherche CNRS" since 2004. He is leading the MediaCoding research team at I3S laboratory ( He is a co-founder of Cintoo ( a Start-Up he created in July 2013, spin-off from University Côte d’Azur and CNRS. Cintoo develops technologies and solutions for managing and leveraging the 3D data coming from Reality Capture devices in the cloud. He was prize-winner in 2013 for the French national innovation prize for the creation of start-up ("CREADEV Emergence"). He was awarded the "Medal of the University" of Nice Sophia-Antipolis in 2013. Marc Antonini is the author of more than 250 papers, 7 book chapters and 13 patents. His research activities cover in particular image and video coding as well as geometric processing and compression of static surface meshes and animations. He is also interested in the analysis of the information contained by the neural code in the visual system, with bio-inspired applications in image and video compression. More recently, he started an activity on the storage of digital images onto synthetic DNA. His works on wavelet transform have been included in the JPEG2000 image coding standard. From 1995 to 2001, he was involved with CNES Toulouse in the Earth Observation program "Pléiades" for the definition of the on-board image coder. The image analysis solution he developed with his research group has been implemented inside the satellite (first launch in 2011). He is Associate Editor for the journal JIVP, Elsevier, member of the IEEE MMSP Technical Committee and Expert member of the JPEG-DNA Ad-hoc Group.

Melpomeni Dimopoulou holds a diploma on Computer Engineering and Informatics from the University of Patras in Greece. In 2016 she received her MSc degree on Computational Biology and Biomedicine from the Université Côte d’Azur in France. Fascinated by science and research in 2017 she started a PhD in the I3S laboratory in Sophia Antipolis, France, under the supervision of Dr. Marc Antonini, on the subject of “Encoding techniques for long-term storage of digital images into synthetic DNA” which she successfully defended in 2020. During the 3 years of her studies, Melpomeni has authored four publications to national conferences receiving a best paper award for the conference CORESA 2018, seven publicationsto international conferences with a best student paper award in EUSIPCO 2019 with honorable mention and has submitted 2 journalpublications. She is also co-author of one patent which has been granted in the USA. In 2019 Melpomeni won first prize in the regional contest of “Three-minute Thesis” of Côte d’Azur and received a prize of excellence from the Université Côte d’Azur for the quality of her studies. In 2020 she received funding which has been co-financed by the Region PACA-Est and SATT Sud Est to continue her studies on the topic of DNA data storage as a Post-Doctoral researcher aiming to build a product to be released in the industry through the future creation of a start-up.