Tech Briefs Magazine - August 2022 - 54

Facility Focus
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Schematic of the bridging of the cold quantum world and high-temperature metal extraction with
machine learning. (Image: Columbia Engineering)
The technology is designed to enable
in situ tissue analysis. Known as MediSCAPE,
the microscope is " capable of capturing
images of tissue structures that
could guide surgeons to navigate tumors
and their boundaries without needing to
remove tissues and wait for pathology results, "
according to the research team.
The way that biopsy samples are processed
hasn't changed in 100 years. The 3D
microscope overcomes many of the limitations
of prior approaches to enable visualization
of cellular structures in tissues in
the living body. It could give a doctor real-time
feedback about what type of tissue
they are looking at without the long wait.
Columbia Engineering researchers have
developed a " cloaking " system that temporarily
hides therapeutic bacteria from immune
systems, enabling them to more effectively
deliver drugs to tumors and kill
cancer cells in mice. By manipulating the
microbes' DNA, they programmed gene
circuits that control the bacteria surface,
building a molecular " cloak'' that encapsulates
the bacteria.
According to the researchers, this system
gives them the ability to regulate the time
that bacteria survive in human blood, and
increase the maximum tolerable dose of
bacteria. The system also opens up a new
bacteria delivery strategy in which they can
inject bacteria to one accessible tumor, and
have them controllably migrate to distal tumors
such as metastases, cancer cells that
spread to other parts of the body.
A new low-cost system developed by a
team of Columbia researchers can continuously
screen multiple people for fever
with no human interaction, significantly
lowering human labor cost of
screening and social interaction.
The system, called SIFTER, can automatically
take temperature readings of
54
people walking by, going about their
own business, up to three meters away -
no one has to stand in front of a camera
for a few seconds to take a measurement.
And no one needs to be there to read
the measurement and approve the person's
entry.
SIFTER uses smaller numbers of lowcost
sensors, can run continuously in different
environmental conditions, and
can screen multiple people simultaneously.
The entire end-to-end system is
fully automated, needing no one to manually
take measurements or analyze the
results. Its embedded software is opensource
and the hardware costs less than
$500 to set up and operate.
Engineers at Columbia have also invented
a method that combines quantum
mechanics with machine learning
to accurately predict oxide reactions at
high temperatures when no experimental
data is available. It could be used to
design clean carbon-neutral processes
for steel production and metal recycling.
The new computation technique,
through combining quantum mechanics
and machine learning, can accurately
predict the reduction temperature of
metal oxides to their base metals. The
team is now working on extending the
approach to other temperature-dependent
materials properties, such as solubility,
conductivity, and melting, that are
needed to design electrolytic metal extraction
processes that are carbon-free
and powered by clean electric energy.
Technology Transfer
Columbia Technology Ventures is the
technology transfer office for Columbia
University. For more information contact
techventures@columbia.edu or call
212-854-8444.
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Tech Briefs, August 2022

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Tech Briefs Magazine - August 2022

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