DUG’s Post

Sponsored content - Shock comparisons with DUG MP-FWI Imaging! DUG showcases shocking before and after images, using raw field data as input. Read in this article how DUG MP-FWI Imaging is changing the game. DUG https://lnkd.in/g5BZYHBe

This is a really exciting new technology that allows for the imaging of multicellular systems over time. I can see this as a key tool to understand how microbes and plants interact at the subsurface root level. So many cool experiments that will be planned. #microscope #multicellular #plantmicrobeinteractions

"While multispectral imagery can be used to discriminate between different surface materials, imaging spectroscopy—also called hyperspectral imaging—provides even more powerful capabilities. These include exploiting unique spectral signatures and absorption features of materials to estimate the sub-pixel abundance of materials or to detect spectral targets of interest." - NV5 Geospatial Software #remotesensing #hyperspectral

Hyperspectral imaging produces high-resolution images of the Earth's surface by dividing the light into narrow, contiguous bands across the electromagnetic spectrum. Since different features on the surface reflect, absorb, and emit light at specific wavelengths, they are used as 'fingerprints' for identification in hyperspectral imagery. The obtained images are arranged into a 3-D array, in which the x- and y-dimensions represent the scene's spatial extent while the z-axis is its spectral content.   I suggest using the spatial and vertical information stored in the pixels of the hyperspectral cube. This involves treating the pixels as an analytical signal "sampled in time." Then, we can break down all the signals into instantaneous attributes (such as amplitude, frequency, and phase) using the Hilbert transform. Because these measurements are linked to a specific moment in time (spectral band), we can more effectively analyze the changing information in the reflectance data, which can significantly improve the interpretability of the hyperspectral imagery.   I used the data collected at the NEON site in Maryland (https://lnkd.in/eSnjrgYQ) to demonstrate the proposed approach. The movie below shows the reflectance data at a spectral band and its computed instantaneous attributes. While frequency tends to be more sensitive than phase, the instantaneous attributes have the potential to reveal additional features or even confirm features observed in the reflectance data. This approach could open up new possibilities for understanding hyperspectral imagery, paving the way for innovative methods to process this data type. #hyperspectral #visualanalytics #signalprocessing

This x-ray imager integrates scintillator film, free from ghosting, with an event-based vision sensor to achieve an impressive data compression ratio of 23.7%: https://ow.ly/LbMF50Sb5nR Growth in data volume imposes constraints on system capabilities, including data transmission, bandwidth, processing capability and more. The imager demonstrated in this Optica [#OPG_Optica] study offers high sensitivity to dynamic objects and does not respond to static backgrounds, thus achieving data volume compression with high image quality. Written by: Ao Zhang, Jincong Pang, Haodi Wu, Qingwen Tan, Zhiping Zheng, Ling Xu, Jiang Tang, and Guangda Niu #xray #imaging #science #data #bandwidth

Spatial intelligence, gaussian splats for 3d reconstruction, nefr, AR, why vision is beyond 1-d llms. The agents are here.. so after prompts.. it's agents engineering.. from concept learning and understanding to replication from observation and beyond.. some dreams about to see the daylight.

The question people ask us most frequently during a training session is, "What kV and filter combination should I use to collect X-ray CT data for my sample?" My colleague, Angela, answers this question in her latest blog article: https://lnkd.in/g5--38f3 If you have asked the same question, or you've been using the same setting without thinking much about it, this article is for you. The tricky thing about this question is that there is no straightforward rule for setting the best kV and filter. But she says there are some rules of thumb to use. She also explains where you can get a hint about the best kV and filter combination. What is your approach? #rigakuxct #computedtomography

🔦 Different lighting conditions and image processing algorithms, particularly demosaicing and grayscale conversion, impact key point localization in digital photogrammetry. By testing various lighting setups and algorithms, the study identifies methods that minimize feature point deviations. Recommendations are provided for achieving higher accuracy in photogrammetry under artificial lighting conditions, based on the findings from over 300 tested cases. 👨✈️ Paweł Burdziakowski from Gdańsk University of Technology 📺 Full video: https://lnkd.in/g8taVKa3 📰 This video is adapted from the paper: 10.3390/rs16142644 published by Remote Sensing MDPI #lightspectrum #photogrammetry #demosaicing #greyscale

Selecting ROIs for GeoMx is crucial and you can now benefit from the integration of Oncotopix Discovery by Visiopharm to reduce operator time, increase productivity and sample throughput. Contact us or request a demo! #spatialbiology #ROIselection # GeoMx