Fly catcher robot to speed up insights
into Alzheimer's
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[August 07, 2015]
By Ben Gruber
PALO ALTO, California - Stanford
University researchers are using the most sophisticated fly catcher in
the world with the potential to speed up the rate of scientific insight
into diseases like Alzheimer's and Parkinson's. Utilizing robotics,
computer vision, and high speed cameras along with a powerful suit of
sensors, this robot can handle and study fruit flies with unprecedented
speed and accuracy.
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Fruit flies and humans share more than 50 percent of the genes
known to affect human disease, making them crucial to genetic
research.
"Historically the fruit fly has been an important model for the
study of various biological processes and has led to important
discoveries initially in genetics but then in other fields as well,"
said Mark Schnitzer, a professor of biology and applied physics at
Stanford University.
But gaining scientific insight from the humble fruit fly is
difficult because preparing their tiny brains for study is time
consuming.
"We looked at this situation and thought, well, the fruit fly offers
so many advantages, the powerful suit of genetic tools. On the other
hand there is still a lot of human labor that is involved and with
the advent of modern robotic technology we should be able to change
the situation and to a degree of automation to the field that simply
had not existed before," Schnitzer added.
The robot works by releasing flies onto a dish in the pitch dark to
ensure they don't fly away. Then a suction needle guided by infrared
cameras catches a fly. Researchers can then image and prepare it for
further study. All of this happens in a matter of seconds without
the need to drug the flies.
"You can precisely handle the fly without any anesthesia that means
it can actually give you a clean brain to study," said Stanford fly
biologist Cheng Huang.
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And a clean brain, says Huang, makes for more accurate results.
"Even in flies there are a lot of genes related to human disease and
there are a lot of fly-human disease models and that means you can
induce a lot of symptoms," he added.
These symptoms include those of neurodegenerative diseases like
Alzheimer's and Parkinson's that now, thanks to a fly catching
robot, researchers can better understand at a faster pace.
The description of the first experiments using the robot were
published in the journal Nature Methods.
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