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Software could improve image analysis, team says

Magnetic resonance image

Researchers say they have developed new software that will analyze medical and scientific images faster and more accurately than ever before.

The team says this software, Tracking Equilibrium and Nonequilibrium shifts in Data (TREND), can analyze any series of images, including nuclear magnetic resonance images, computerized tomography scans, ultrasound images, video images, and imaging from scientific equipment of all kinds.

The researchers described the TREND software in Biophysical Journal.

The team said TREND can study sets of images to resolve and track the changes among the images.

And the software can analyze videos to plot and resolve changes as well as reconstruct videos to focus only on the individual processes and changes of interest.

“TREND allows accurate, rapid analysis of incredibly complex and nuanced images, which can potentially save doctors, patients, and scientists countless hours and money,” said Steve Van Doren, PhD, of the University of Missouri in Columbia, Missouri.

“TREND has allowed us to advance our own research into enzyme interactions considerably. Previously, it would take us weeks to analyze a single group of images. With TREND, that analysis now takes only a few minutes and is more accurate and consistent than if a human performed the work.”

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Magnetic resonance image

Researchers say they have developed new software that will analyze medical and scientific images faster and more accurately than ever before.

The team says this software, Tracking Equilibrium and Nonequilibrium shifts in Data (TREND), can analyze any series of images, including nuclear magnetic resonance images, computerized tomography scans, ultrasound images, video images, and imaging from scientific equipment of all kinds.

The researchers described the TREND software in Biophysical Journal.

The team said TREND can study sets of images to resolve and track the changes among the images.

And the software can analyze videos to plot and resolve changes as well as reconstruct videos to focus only on the individual processes and changes of interest.

“TREND allows accurate, rapid analysis of incredibly complex and nuanced images, which can potentially save doctors, patients, and scientists countless hours and money,” said Steve Van Doren, PhD, of the University of Missouri in Columbia, Missouri.

“TREND has allowed us to advance our own research into enzyme interactions considerably. Previously, it would take us weeks to analyze a single group of images. With TREND, that analysis now takes only a few minutes and is more accurate and consistent than if a human performed the work.”

Magnetic resonance image

Researchers say they have developed new software that will analyze medical and scientific images faster and more accurately than ever before.

The team says this software, Tracking Equilibrium and Nonequilibrium shifts in Data (TREND), can analyze any series of images, including nuclear magnetic resonance images, computerized tomography scans, ultrasound images, video images, and imaging from scientific equipment of all kinds.

The researchers described the TREND software in Biophysical Journal.

The team said TREND can study sets of images to resolve and track the changes among the images.

And the software can analyze videos to plot and resolve changes as well as reconstruct videos to focus only on the individual processes and changes of interest.

“TREND allows accurate, rapid analysis of incredibly complex and nuanced images, which can potentially save doctors, patients, and scientists countless hours and money,” said Steve Van Doren, PhD, of the University of Missouri in Columbia, Missouri.

“TREND has allowed us to advance our own research into enzyme interactions considerably. Previously, it would take us weeks to analyze a single group of images. With TREND, that analysis now takes only a few minutes and is more accurate and consistent than if a human performed the work.”

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Software could improve image analysis, team says
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Software could improve image analysis, team says
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