Overview
Challenge
The increasing demand for making decisions based on data, combined with the necessity to preserve data for regulatory compliance, has led to a significant rise in the volume of archival data stored by businesses. As the rate at which data is generated surpasses the improvements in storage density for media such as HDD and tape, researchers are exploring new architectures and types of media to store this “cold” and rarely accessed data at an exceptionally low cost.
Synthetic dna
Synthetic DNA has garnered attention as a storage medium due to its high density and durability. DNA has crucial properties that make it pertinent for archival storage. First, it serves as an exceedingly dense three-dimensional storage medium with the theoretical capacity to store 455 Exabytes in 1 gram; in contrast, a 3.5” hard disk drive, currently capable of storing 10 Terabytes, weighs 600 grams. Second, DNA can endure for several centuries even in harsh storage environments, surpassing the lifetimes of hard disk drives (five years) and tape (thirty years). However,synthetic DNA is currently prohibitively expensive and so alternative forms of DNA storage need to be explored.
Storing information in dna nanostructures
Given the prohibitive cost of synthetic DNA, our vision is to use DNA nanostructures with molecular bumps to store data—in a similar manner to a compact disc—and to use microscopy, followed by a decoding pipeline based on computer vision and machine learning, to reconstruct the original data. The following picture illustrates our approach.
OUR APPROACH IN A NUTSHELL
People
Adrian Keller
University paderborn
PI & Coordinator
Belma Duderija
University paderborn
Coordination
Emilia Tomm
University Paderborn
PhD Student
Lukas Rabbe
University paderborn
PhD Student
Xinyang Li
University Paderborn
PhD Student
Thomas Heinis
Imperial College
PI
Wooli Bae
Univeristy of surrey
PI
Steven De Feyter
KU Leuven
PI
GM Velpula
KU Leuven
PostDoc
Robert Peharz
TU graz
PI
Thomas Pock
TU Graz
PI
IriNA Dobrianski
TU Graz
PhD Student
Muhamed Kuric
TU GRAZ
PhD Student
Jaroslav KOcisek
J. Heyrovsky Institute
PI
Tereza Zapotocka
J. Heyrovsky Institute
PhD Student
Leo Sala
J. Heyrovsky Institute
Researcher
CONSORTIUM PARTNERS
PUBLications
2021
Generating Synthetic Data for DNA Origami-based Information Storage Systems Proceedings Article
In: Pirk, Holger; Heinis, Thomas (Ed.): Proceedings of the The British International Conference on Databases 2021, London, United Kingdom, March 28, 2022, pp. 20–28, CEUR-WS.org, 2021.