To demonstrate its versatility, an experimental model of vascular development is used to extract hemodynamic parameters via statistical and deep learning approaches. Hyperspectral learning also enables ultrafast dynamic imaging, leveraging ultraslow video recording in an off-the-shelf smartphone, given that a video comprises a time series of multiple RGB images.
Hyperspectral learning is capable of recovering full spectroscopic resolution in the hypercube, comparable to high spectral resolutions of scientific spectrometers. A small sampling of hyperspectral data enables spectrally informed learning to recover a hypercube from a red–green–blue (RGB) image without complete hyperspectral measurements. Hyperspectral learning exploits the idea that a photograph is more than merely a picture and contains detailed spectral information. Here we introduce hyperspectral learning for snapshot hyperspectral imaging in which sampled hyperspectral data in a small subarea are incorporated into a learning algorithm to recover the hypercube. However, conventional hyperspectral imaging has intrinsic limitations of bulky instruments, slow data acquisition rate, and spatiospectral trade-off. Ideally, removeNonCataloged and removeQuarantinedVersions options should work with the large Nexus instance but without spamming the IQ side (for example, utilising some cache).Hyperspectral imaging acquires data in both the spatial and frequency domains to offer abundant physical or biological information. locked (a .Subscriber$SynchronizedSubscriber)Īt .Subscriber$1.run(Subscriber.java:72)Īt .(DirectExecutor.java:30)Īt .Subscriber.dispatchEvent(Subscriber.java:67)Īt .Dispatcher$ImmediateDispatcher.dispatch(Dispatcher.java:186)Īt .EventBus.post(EventBus.java:212)Īt .(EventManagerImpl.java:127)Īt .nonCatalogedVersions(OrientNonCatalogedVersionHelperFacet.java:206)Īt .maybeAddExcludedVersionsFieldMatchers(OrientNonCatalogedVersionHelperFacet.java:155)Īt this moment, no clear reproduce steps available, but this symptom would happen with busy Nexus instance (for example, many npm concurrent requests + relatively slow IQ).
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