Results 91 to 100 of about 1,840,836 (218)

Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content

open access: yesNature Communications, 2020
Quantifying lipid and water content in tissues non-invasively is difficult, and no method exists to quantify lipids in blood non-invasively. Here the authors develop an imaging approach called shortwave infrared meso-patterned imaging (SWIR-MPI) to ...
Yanyu Zhao   +8 more
doaj   +1 more source

Non-invasive monitoring of hydraulic processes in the rhizosphere using shortwave infrared imaging [PDF]

open access: yesE3S Web of Conferences
Existing methods for non-destructive, ex-situ investigation of the rhizosphere include X-Ray Computed Tomography. However, this method is time-consuming, requires specialist skills to operate, and, most of all, it is impractical for multiple replications.
Darby Andrew   +2 more
doaj   +1 more source

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

open access: yesSmall, 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   +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

open access: yesNew 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   +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

open access: yesAngewandte 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   +6 more
wiley   +2 more sources

Biocompatible and Water-Soluble Shortwave-Infrared (SWIR)-Emitting Cyanine-Based Fluorescent Probes for In Vivo Multiplexed Molecular Imaging

open access: yes
Extending molecular imaging into the shortwave-infrared (SWIR, 900–1400 nm) region provides deep tissue visualization of biomolecules in the living system resulting from the low tissue autofluorescence and scattering.
Aravind K. Swamy (18283861)   +5 more
core   +1 more source

Harnessing genetic variation for grain quality from diverse wheat landraces

open access: yesNew 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   +15 more
wiley   +1 more source

Time-resolved SWIR imaging for the assessment of the activity of occlusal caries lesions. [PDF]

open access: yesJ Biophotonics, 2023
Ng M   +5 more
europepmc   +1 more source

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

open access: yesThe 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   +12 more
wiley   +1 more source

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

open access: yesThe 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   +61 more
wiley   +1 more source

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