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HyperBird, a cutting-edge imaging platform for observing microscopic traits in plants, can detect grape diseases – such as powdery and downy mildews, which cost vineyard owners billions in annual losses globally – days before physical symptoms become visible. The advancement will potentially allow plant breeders to speed the development of disease-resistant grape varieties, cue growers to target fungicide use early in a disease's progression, and provide vineyard workers with better and earlier information for crop management. While regular cameras record three bands of wavelengths (red, blue, and green) within the visible light spectrum, hyperspectral imaging records hundreds of narrow bands. With this hyperspectral power, the researchers created a high-throughput phenotyping microscope – meaning it can process hundreds of leaf samples within a few hours for observable traits related to disease resistance. This capability lets it detect changes inside a leaf before they are visible on the surface. Cornell CALS | Cornell AgriTech Read more:

HyperBird, a cutting-edge imaging platform for observing microscopic traits in plants, can detect grape diseases – such as powdery and downy mildews, which cost vineyard owners billions in annual losses globally – days before physical symptoms become visible. The advancement will potentially allow plant breeders to speed the development of disease-resistant grape varieties, cue growers to target fungicide use early in a disease's progression, and provide vineyard workers with better and earlier information for crop management. While regular cameras record three bands of wavelengths (red, blue, and green) within the visible light spectrum, hyperspectral imaging records hundreds of narrow bands. With this hyperspectral power, the researchers created a high-throughput phenotyping microscope – meaning it can process hundreds of leaf samples within a few hours for observable traits related to disease resistance. This capability lets it detect changes inside a leaf before they are visible on the surface. Cornell CALS | Cornell AgriTech Read more:

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Cornell engineers have developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes, and adapts to its environment without centralized control. The system, called the Cross-Link Collective, consists of dozens of small robots that have limited mobility individually, but together exhibit coordinated and sustained motion. The research, published May 20 in Science Robotics, demonstrates a robotic system that resembles soft matter, continuously deforming and reorganizing as it moves, driven by what researchers call mechanical intelligence. Cornell Duffield College of Engineering Cornell Research & Innovation Read more:

Cornell engineers have developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes, and adapts to its environment without centralized control. The system, called the Cross-Link Collective, consists of dozens of small robots that have limited mobility individually, but together exhibit coordinated and sustained motion. The research, published May 20 in Science Robotics, demonstrates a robotic system that resembles soft matter, continuously deforming and reorganizing as it moves, driven by what researchers call mechanical intelligence. Cornell Duffield College of Engineering Cornell Research & Innovation Read more:

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E pluribus unum – “out of many, one” – is not only a motto for the United States. It’s a good credo for microrobots. A research collaboration between Cornell and the Max Planck Institute for Intelligent Systems has shown how a swarm of microrobots spinning on a water surface can together generate the fluidic torque needed to manipulate passive structures without any physical contact. This collective behavior was demonstrated to operate gears and move objects, with the aim of eventually performing microscale tasks and biomedical procedures. “At small scales, contact-based manipulation can be limiting, and flow-based manipulation offers a great alternative,” said Kirstin Petersen, associate professor and an Aref and Manon Lahham Faculty Fellow in the Department of Electrical and Computer Engineering in Cornell Duffield College of Engineering and the paper’s co-senior author. “We’re showing that in spite of their size, adding more microrobots creates stronger flows and greater torque transfer.” The research published Feb. 25 in Science Advances. The lead author is Steven Ceron, Ph.D. ’22, now an assistant professor at the University of Michigan. More:

E pluribus unum – “out of many, one” – is not only a motto for the United States. It’s a good credo for microrobots. A research collaboration between Cornell and the Max Planck Institute for Intelligent Systems has shown how a swarm of microrobots spinning on a water surface can together generate the fluidic torque needed to manipulate passive structures without any physical contact. This collective behavior was demonstrated to operate gears and move objects, with the aim of eventually performing microscale tasks and biomedical procedures. “At small scales, contact-based manipulation can be limiting, and flow-based manipulation offers a great alternative,” said Kirstin Petersen, associate professor and an Aref and Manon Lahham Faculty Fellow in the Department of Electrical and Computer Engineering in Cornell Duffield College of Engineering and the paper’s co-senior author. “We’re showing that in spite of their size, adding more microrobots creates stronger flows and greater torque transfer.” The research published Feb. 25 in Science Advances. The lead author is Steven Ceron, Ph.D. ’22, now an assistant professor at the University of Michigan. More:

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