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.

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

CONSORTIUM PARTNERS

PUBLications

2021

Hunter, William; Heinis, Thomas; Low, Chandler

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.

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