Results 121 to 130 of about 24,678 (241)

Comparative analysis of high-temperature targets retrieved from SWIR and TIR data

Frontiers in Environmental Science
IntroductionForest fires, grassland fires, heap coking, straw burning, and volcanic eruptions are thermal anomalies. They attract attention and are designated as high-temperature targets.
Yifan Yu, Jun Pan, Huishi Du
doaj   +1 more source

Engineering Carbon Nanotube Quantum Well Defects With Recognition Tripeptides for Optical Detection of Extracellular Vesicles in Plasma

Small, EarlyView.
A three‐residue peptide bioconjugated onto a carbon nanotube quantum defect turns the near‐infrared emission of quantum defects into a reporter of integrins on intact extracellular vesicles, directly in human plasma. The sensor reveals that healthy fibroblast vesicles carry as much RGD‐binding integrin as cancer‐derived ones, an adhesion‐associated ...
In‐Jun Hwang, Junhee Kim, Aarti Patel, Leilei Zhang, Jacob Miller, Stanislav Piletsky, Cassandra L. Clift, Colin Hisey, YongJoo Kim, Mijin Kim   +9 more
wiley   +1 more source

A novel method based on high‐resolution imaging spectroscopy to predict fine‐root traits and the economics space of fresh tree roots

New Phytologist, EarlyView.
Maps of the estimated root nitrogen concentration in the < 0.5‐mm‐diameter classes of 20 woody species based on the imaging spectroscopy using the shortwave infrared spectral region. Summary Tree fine‐root morphological, anatomical, and chemical traits are important to reflect belowground resource acquisition strategies to support tree growth, but ...
Naoki Makita, Natsuko Tanikawa, Tatsuro Nakaji   +2 more
wiley   +1 more source

One‐End‐Truncated Au52 and Au70 Quantum Rods: High‐Quantum‐Yield NIR‐II Emitters With Aspect‐Ratio‐Dominated Photophysics

Angewandte Chemie, Volume 138, Issue 42, 12 October 2026.
Two nanoclusters, Au52(PET)38 and Au70(PET)50, where PET = 2‐phenylethanethiolate, are isolated, which constitute a series of one‐end‐truncated kernel topologies. Both Au52 and Au70 exhibit NIR‐II absorption at 1032 and 1275 nm and nanosecond fluorescence at 1100 and 1360 nm, respectively, with high quantum yields (20.9% for Au52 and 14.8% for Au70 ...
Lianshun Luo, Avirup Sardar, Guiying He, Abhrojyoti Mazumder, Guoxiang Hu, Gangli Wang, Rongchao Jin   +6 more
wiley   +2 more sources

All-Weather Drone Vision: Passive SWIR Imaging in Fog and Rain

Drones
Short-wave-infrared (SWIR) imaging can extend drone operations into fog and rain, yet the optimum spectral strategy remains unclear. We evaluated a drone-borne quantum-dot SWIR camera inside a climate-controlled tunnel that generated calibrated advection
Alexander Bessonov, Aleksei Rozanov, Richard White, Galih Suwito, Ivonne Medina-Salazar, Marat Lutfullin, Dmitrii Gusev, Ilya Shikov   +7 more
doaj   +1 more source

Harnessing genetic variation for grain quality from diverse wheat landraces

New Phytologist, EarlyView.
Grain protein content is usually measured on bulk samples, hiding variation between individual grains. We used hyperspectral imaging to predict protein in c. 15 000 single grains from over 500 Watkins wheat landraces grown in two environments, resolving both mean protein content and grain‐to‐grain uniformity.
Luqman B. Safdar, M. John Foulkes, Alix Cornish, Elizabeth D. Goodman, Andrew B. Riche, David Steele, Charlie Philp, Shiva Rahimitanha, Martin Whitworth, Iain R. Searle, Matt Kerton, Malcolm J. Hawkesford, Simon Griffiths, Rahul A. Bhosale, Scott A. Boden, Ian D. Fisk   +15 more
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

III-V semiconductor quantum dots for SWIR light emission and detection

Shortwave infrared (SWIR) light emitters and detectors are indispensable across various fields, yet conventional technologies based on epitaxially grown semiconductors like InGaAs are costly and complex to integrate with CMOS technology.
Sheikh, Tariq
core   +1 more source

PlantCV v4: Image analysis software for high‐throughput plant phenotyping

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl, Keely E. Brown, Hudanyun Sheng, Parag K. Bhatt, Jorge Gutierrez, Dominik Schneider, Anna L. Casto, Lucia Acosta‐Gamboa, Joe G. Ballenger, Fabio Barbero, Jackson Braley, Autumn M. Brown, Leonardo Chavez, Shannon Cunningham, Malinda Dilhara, Adam M. Dimech, Joseph G. Duenwald, Annika Fischer, Jared M. Gordon, Chloe Hendrikse, Gabriela L. Hernandez, John G. Hodge, Martina Huber, Brandon M. Hurr, Sanaz Jarolmasjed, Karina Medina Jimenez, Samuel Kenney, Grant Konkel, Alexander Kutschera, Sunita Lama, Matthew Lohbihler, Argelia Lorence, Collin Luebbert, Nathaniel Ly, Heather K. Manching, Annarita Marrano, Susan Meerdink, Nicholas M. Miklave, Pavan Mudrageda, Katherine M. Murphy, J. David Peery, Ronald Pierik, Seth Polydore, Caleb Robey, Tess Rogers, Tyler J. Schultz, Eliza Seigel, Dhiraj Srivastava, Stephan Summerer, Josh Sumner, Chong Teng, Adriane E. Thompson, Jose C. Tovar, Tim van Daalen, Mark Watson, John J. Wheeler, Mark C. Wilson, Kaitlyn R. Ying, Alina Zare, Yutai Zhou, Malia A. Gehan, Noah Fahlgren   +61 more
wiley   +1 more source

Reconstructing fresh green leaf spectra in the SWIR-2 region (2001–2500 nm) collected in a humid environment by referring to publicly available green leaf spectral databases

International Journal of Applied Earth Observations and Geoinformation
Leaf spectra (reflectance and transmittance) are commonly measured using a portable spectroradiometer and an integrating sphere or contact probe with an artificial light source.
Lino Garda Denaro, Hsin-Ju Li, Jie-Yun Chong, Cho-ying Huang   +3 more
doaj   +1 more source