Interferometric speckle visibility spectroscopy (iSVS) for measuring decorrelation time and dynamics of moving samples with enhanced signal-to-noise ratio and relaxed reference requirements

Posted by dbos Caltech

Kavli Affiliate: Changhuei Yang | First 5 Authors: Yu Xi Huang, Simon Mahler, Jerome Mertz, Changhuei Yang, | Summary: Diffusing wave spectroscopy (DWS) is a group of techniques used to measure the dynamics of a scattering medium in a non-invasive manner. DWS methods rely on detecting the speckle light field from the moving scattering media […]


Continue.. Interferometric speckle visibility spectroscopy (iSVS) for measuring decorrelation time and dynamics of moving samples with enhanced signal-to-noise ratio and relaxed reference requirements

Optical Dipole Structure and Orientation of GaN Defect Single-Photon Emitters

Posted by klaurent Cornell

Kavli Affiliate: Warren R. Zipfel | First 5 Authors: Yifei Geng, Debdeep Jena, Gregory D. Fuchs, Warren R. Zipfel, Farhan Rana | Summary: GaN has recently been shown to host bright, photostable, defect single photon emitters in the 600-700 nm wavelength range that are promising for quantum applications. The nature and origin of these defect […]


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Optimality in superselective surface binding by multivalent DNA nanostars

Posted by klaurent Delft

Kavli Affiliate: Liedewij Laan | First 5 Authors: Christine Linne, Eva Heemskerk, Jos Zwanikken, Daniela J. Kraft, Liedewij Laan | Summary: Weak multivalent interactions govern a large variety of biological processes like cell-cell adhesion and virus-host interactions. These systems distinguish sharply between surfaces based on receptor density, known as superselectivity. Earlier experimental and theoretical work […]


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Single-shot 3D photoacoustic computed tomography with a densely packed array for transcranial functional imaging

Posted by klaurent Caltech

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Rui Cao, Yilin Luo, Jinhua Xu, Xiaofei Luo, Ku Geng | Summary: Photoacoustic computed tomography (PACT) is emerging as a new technique for functional brain imaging, primarily due to its capabilities in label-free hemodynamic imaging. Despite its potential, the transcranial application of PACT has encountered hurdles, […]


Continue.. Single-shot 3D photoacoustic computed tomography with a densely packed array for transcranial functional imaging

Single-shot 3D photoacoustic computed tomography with a densely packed array for transcranial functional imaging

Posted by klaurent Caltech

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Rui Cao, Yilin Luo, Jinhua Xu, Xiaofei Luo, Ku Geng | Summary: Photoacoustic computed tomography (PACT) is emerging as a new technique for functional brain imaging, primarily due to its capabilities in label-free hemodynamic imaging. Despite its potential, the transcranial application of PACT has encountered hurdles, […]


Continue.. Single-shot 3D photoacoustic computed tomography with a densely packed array for transcranial functional imaging

Performing quantum entangled biphoton spectroscopy using classical light pulses

Posted by klaurent Berkeley

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Liwen Ko, Robert L. Cook, K. Birgitta Whaley, , | Summary: We show that for a class of quantum light spectroscopy (QLS) experiments using n = 0,1,2,$cdots$ classical light pulses and an entangled photon pair (a biphoton state) where one photon acts as a reference without interacting […]


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Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan | Summary: Brain graphs, which model the structural and functional relationships between brain regions, are crucial in neuroscientific and clinical applications involving graph classification. However, dense brain graphs pose computational challenges including high runtime and memory usage […]


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GPT-assisted learning of structure-property relationships by graph neural networks: Application to rare-earth doped phosphors

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Zichun Zhou, Chen Ming, Yi-Yang Sun, | Summary: Applications of machine learning techniques in materials science are often based on two key ingredients, a set of empirical descriptors and a database of a particular material property of interest. The advent of graph neural networks, such […]


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Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response

Posted by klaurent Berkeley

Kavli Affiliate: Graham R. Fleming | First 5 Authors: Audrey Short, Thomas P. Fay, Thien Crisanto, Ratul Mangal, Krishna K. Niyogi | Summary: Efficiently balancing photochemistry and photoprotection is crucial for survival and productivity of photosynthetic organisms in the rapidly fluctuating light levels found in natural environments. The ability to respond quickly to sudden changes […]


Continue.. Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response

Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response

Posted by klaurent Berkeley

Kavli Affiliate: Graham R. Fleming | First 5 Authors: Audrey Short, Thomas P. Fay, Thien Crisanto, Ratul Mangal, Krishna K. Niyogi | Summary: Efficiently balancing photochemistry and photoprotection is crucial for survival and productivity of photosynthetic organisms in the rapidly fluctuating light levels found in natural environments. The ability to respond quickly to sudden changes […]


Continue.. Kinetics of the Xanthophyll Cycle and its Role in the Photoprotective Memory and Response