Microsoft Demonstrates ‘First Fully Automated DNA Data Storage’

Tech major Microsoft has successfully developed an end-to-end automated DNA memory device that can translate digital data into DNA and back to bits, the company same in a blog post.

The totally automated system to store and retrieve data in manufactured DNA is a key step in moving the technology out of the science lab and into commercial data centers.

The novel system, developed in partnership with University of Washington, translated “HELLO” into DNA and converted it back to digital data in precisely 21 hours, reportable the paper published in Nature Scientific Reports journal.

“Our ultimate goal is to place a system into production that, to the end user, looks very much like any other cloud storage service — bits are sent to a data center and hold on there and so they just seem once the customer wants them,” Karin Strauss, principal researcher at Microsoft, wrote within the post on Thursday.

The system has to date hold on one GB of data in DNA, which incorporates cat pictures, great literary works, pop videos further as deposit recordings in DNA, that could be retrieved while not errors, the researchers same.

The automated DNA data storage system uses software that converts those and zeros of digital data into the As, Ts, cs and Gs that conjure the building blocks of DNA.

Then it uses cheap lab equipments to flow the necessary liquids and chemicals into a synthesiser that builds manufactured snippets of DNA and to push them into a storage vessel.

When the system must retrieve the data, it adds other chemicals to properly prepare the DNA and uses microfluidic pumps to push the liquids into alternative elements of the system that “read” the DNA sequences and convert it back to data that a laptop will understand.

Information is hold on in synthetic DNA molecules created in an exceedingly lab, not DNA from humans or other living things, and might be encrypted before it’s sent to the system.

Further, the team also developed techniques to go looking for and retrieve solely images that contain an apple or a green bicycle — using the molecules themselves and while not having to convert the files back to a digital format.

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