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Posts tagged #NIR

Society for Applied Spectroscopy
Society for Applied Spectroscopy
@sasspectroscopy.bsky.social
3 days ago
Abstract: Soil reflectance spectroscopy is a powerful tool for rapid, non-destructive assessment of soil properties and the foundation for data-driven soil science applications. However, systematic discrepancies during routine spectral measurement procedures, particularly those arising from contamination or deterioration of white reference (WR) calibration panels, may compromise spectral data stability and hinder harmonization practices across laboratories. This study investigates the impact of using a non-contaminated WR panel as a calibration target to measure soil reflectance across the visible (Vis), near-infrared (NIR), and short-wavelength infrared (SWIR) spectral regions. The study evaluates the effectiveness of an internal soil standard (ISS) Lucky Bay sand to correct discrepancies within a controlled laboratory setting. Twelve soils from the Israeli Legacy Soil Spectral Library were analyzed using a contact-probe setup that was calibrated with both a clean and a contaminated WR. The spectral correction method, based on IEEE P4005 protocols and the ISS calibration, significantly reduced spectral inconsistencies, especially in the Vis region where contamination effects were most pronounced. Results show that the ISS effectively harmonized spectra acquired under different WR conditions, reducing the modified average spectral difference stability (mASDS) measure across all samples. While ISS correction is commonly employed for cross-laboratory harmonization, our findings highlight its critical role in enhancing intra-laboratory consistency under routine operational variability. We recommend that every WR calibration process will be accompanied with ISS measurements. The continuous use of a well-maintained WR and ISS improves the reliability of soil spectral datasets and supports the long-term harmonization of soil spectral libraries.

Abstract: Soil reflectance spectroscopy is a powerful tool for rapid, non-destructive assessment of soil properties and the foundation for data-driven soil science applications. However, systematic discrepancies during routine spectral measurement procedures, particularly those arising from contamination or deterioration of white reference (WR) calibration panels, may compromise spectral data stability and hinder harmonization practices across laboratories. This study investigates the impact of using a non-contaminated WR panel as a calibration target to measure soil reflectance across the visible (Vis), near-infrared (NIR), and short-wavelength infrared (SWIR) spectral regions. The study evaluates the effectiveness of an internal soil standard (ISS) Lucky Bay sand to correct discrepancies within a controlled laboratory setting. Twelve soils from the Israeli Legacy Soil Spectral Library were analyzed using a contact-probe setup that was calibrated with both a clean and a contaminated WR. The spectral correction method, based on IEEE P4005 protocols and the ISS calibration, significantly reduced spectral inconsistencies, especially in the Vis region where contamination effects were most pronounced. Results show that the ISS effectively harmonized spectra acquired under different WR conditions, reducing the modified average spectral difference stability (mASDS) measure across all samples. While ISS correction is commonly employed for cross-laboratory harmonization, our findings highlight its critical role in enhancing intra-laboratory consistency under routine operational variability. We recommend that every WR calibration process will be accompanied with ISS measurements. The continuous use of a well-maintained WR and ISS improves the reliability of soil spectral datasets and supports the long-term harmonization of soil spectral libraries.

New from Applied Spectroscopy!
Mitigating Spectral Errors from White Reference Degradation in Soil Spectroscopy
Read more: https://doi.org/10.1177/00037028251396975
#SAS #Spectroscopy #NIR #SWIR #reflectance $soil

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toiida🌻
toiida🌻
@toiida.library.love.ap.brid.gy
5 days ago
Preview
Как находка в пещере в Нью-Мексико поменяла наши представления о том, на каких планетах возможна жизнь - BBC News Русская служба Ученые, исследующие пещеры Карлсбад в Нью-Мексико, обнаружили микроорганизмы, которые осуществляют фотосинтез в полной темноте с помощью света, близкого к инфракрасному диапазону. Это означает, что планеты, где возможна жизнь, можно искать у более холодных звезд, которых во Вселенной гораздо больше.

Кое-что новое про цианобактерии (цианобактерии и ближний инфракрасный свет; заголовок неоправдано нью-васюковский): https://www.bbc.com/russian/articles/cz7gre32731o #cyanobacteria #speleology #NIR #scipop

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Jose Leme, PhD
Jose Leme, PhD
@joselemephd.bsky.social
1 week ago
Post image Post image Post image Post image

🙌🏻 Honored to welcome Ruben Valenzuela and Marçal Plans to HORT 481 - Cannabis Production to showcase their NIR-based cannabinoid analysis technology.

#NIR #plantbiology #horticulture

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Jose Leme, PhD
Jose Leme, PhD
@joselemephd.bsky.social
1 week ago
Post image

They are in town! See you today at 10:00 am in the Ag Building 102 - Muckelroy Auditorium.

#NIR #cannabinoids #plantbiology #horticulture

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Jose Leme, PhD
Jose Leme, PhD
@joselemephd.bsky.social
1 week ago
Post image

📅 TOMORROW!
📍 See you on Monday (March/2) at 10:00 am in the Ag Building 102 - Muckelroy Auditorium.
😎 Let's gooo!

#plantbiology #NIR #horticulture

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Jose Leme, PhD
Jose Leme, PhD
@joselemephd.bsky.social
2 weeks ago
Post image

🇪🇸 Ruben Valenzuela, CEO of Valenveras, and Marcal Plans, Head of Global NIR Applications at Buchi, will be visiting the SIU campus to discuss the ins and outs of the NIR cannabinoid and terpene non-destructive analyzer, a game-changer in the cannabis industry.
#plantbiology #NIR

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Toni
Toni
@greatnorthern85.bsky.social
1 month ago
A Irish Rail intercity railcar sits in the platform of Belfast Grand Central station. The tail lights are on & the destination board is showing "Dublin Connolly". The train is mostly silver with a bit of emerald green along the front edge, coming from top to bottom. The train has a yellow panel on the front. It has a dark blue door with a white bicycle for designated bicycle area. The train is missing a airhorn cover on the bottom right corner. The platform has no people. In the background on the far right side is a Northern Ireland Railways class 3000 railcar. It is mostly dark blue with a sliver bottom & has a yellow oval on the front. It too has it's taillights on. In the background on the far left side is grey skies peeking out from the stations canopy. Both trains are sitting under a canopy.

A Irish Rail intercity railcar sits in the platform of Belfast Grand Central station. The tail lights are on & the destination board is showing "Dublin Connolly". The train is mostly silver with a bit of emerald green along the front edge, coming from top to bottom. The train has a yellow panel on the front. It has a dark blue door with a white bicycle for designated bicycle area. The train is missing a airhorn cover on the bottom right corner. The platform has no people. In the background on the far right side is a Northern Ireland Railways class 3000 railcar. It is mostly dark blue with a sliver bottom & has a yellow oval on the front. It too has it's taillights on. In the background on the far left side is grey skies peeking out from the stations canopy. Both trains are sitting under a canopy.

An Iarnród Éireann Hyundai Rotem Class 22000 ICR, 22336, in the platform of Mórstáisiún Lárnach Bhéal Feirste (Belfast Grand Central) awaiting departure to Stáisiún Uí Chonghaile (Dublin Connolly).

25012026

#Train #Railway #Railcar #Belfast #Ireland #NorthernIreland #IrishRail #NIR #Enterprise

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神奈川Daysニュース＠相互フォロー100%
神奈川Daysニュース＠相互フォロー100%
@kanagawadays.bsky.social
1 month ago
Preview
医薬品業界に革命をもたらす透過型NIR検査装置の新登場 アンリツ株式会社が開発した世界初の透過型NIR技術を用いた錠剤全数検査装置「Ariphas®」が、2026年2月より販売開始。品質管理の新時代が到来！

医薬品業界に革命をもたらす透過型NIR検査装置の新登場 #品質管理 #NIR #錠剤

アンリツ株式会社が開発した世界初の透過型NIR技術を用いた錠剤全数検査装置「Ariphas®」が、2026年2月より販売開始。品質管理の新時代が到来！

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Society for Applied Spectroscopy
Society for Applied Spectroscopy
@sasspectroscopy.bsky.social
1 month ago
Abstract: In the post-fire stage, precipitation and superficial incorporation of ashes alter the chemical properties of the soil. This study evaluated the combined effects of spectral preprocessing methods, data partitioning strategies, and modeling approaches on soil pH prediction using a portable near-infrared (NIR) spectrometer in wildfire ash-enriched soil. A laboratory column experiment was conducted using disturbed sandy loam soil, in which wildfire ashes were incorporated. The experimental design considered five treatments (n = 3) of Eucalyptus globulus and Quillaja saponaria ash incorporations (C: no ash; T1: 2% ash at 2.5  cm; T2: 2% ash at 5  cm; T3: 4% ash at 2.5  cm; T4: 4% ash at 5  cm). After simulating a precipitation of 20  mm h–1 for 6 hours, the soil columns were sampled at 5 depths (D1: 2–3  cm, D2: 7–8  cm, D3: 12–13  cm, D4: 16–17  cm, D5: 20–21  cm). The samples were analyzed using a NIR spectrometer (range: 1350–2550  nm), and the levels of pH (1:2.5) were determined in the laboratory. Eight preprocessing techniques (P0 to P7) were tested, including absorbance conversion, mean centering, trimming, smoothing, standard normal variate (SNV), moving window average (MWA), Savitzky–Golay filtering, and first derivative transformation. Using the Kennard–Stone method, 70% of the data was used for calibration (CAL) and 30% for validation (VAL), considering two partitioning approaches, the same partition by pseudo absorbance values (Scenario A) and different partitions by preprocessing method (Scenario B). Partial least square (PLS) and random forest (RF) models were applied, and performance was assessed using root mean square error (RMSE), coefficient of determination (r2), and ratio of performance to interquartile distance (RPIQ) analyses. The most accurate pH predictions were achieved with RF under Scenario B using trimming + standard normal variate (SNV) + moving weighted average (MWA) preprocessing, yielding r2 values of 0.95 (CAL) and 0.91 (VAL), with RMSEs of 0.23 (CAL) and 0.57 (VAL), and RPIQs of 4.33 (CAL) and 4.61 (VAL). Overall, portable NIR spectroscopy demonstrated strong potential for soil pH prediction in ash-enriched soil, emphasizing the critical role of appropriate spectral preprocessing to avoid overfitting. These findings provide insights into applying portable NIR spectroscopy as a cost-effective tool for monitoring soil pH following wildfires.

Abstract: In the post-fire stage, precipitation and superficial incorporation of ashes alter the chemical properties of the soil. This study evaluated the combined effects of spectral preprocessing methods, data partitioning strategies, and modeling approaches on soil pH prediction using a portable near-infrared (NIR) spectrometer in wildfire ash-enriched soil. A laboratory column experiment was conducted using disturbed sandy loam soil, in which wildfire ashes were incorporated. The experimental design considered five treatments (n = 3) of Eucalyptus globulus and Quillaja saponaria ash incorporations (C: no ash; T1: 2% ash at 2.5  cm; T2: 2% ash at 5  cm; T3: 4% ash at 2.5  cm; T4: 4% ash at 5  cm). After simulating a precipitation of 20  mm h–1 for 6 hours, the soil columns were sampled at 5 depths (D1: 2–3  cm, D2: 7–8  cm, D3: 12–13  cm, D4: 16–17  cm, D5: 20–21  cm). The samples were analyzed using a NIR spectrometer (range: 1350–2550  nm), and the levels of pH (1:2.5) were determined in the laboratory. Eight preprocessing techniques (P0 to P7) were tested, including absorbance conversion, mean centering, trimming, smoothing, standard normal variate (SNV), moving window average (MWA), Savitzky–Golay filtering, and first derivative transformation. Using the Kennard–Stone method, 70% of the data was used for calibration (CAL) and 30% for validation (VAL), considering two partitioning approaches, the same partition by pseudo absorbance values (Scenario A) and different partitions by preprocessing method (Scenario B). Partial least square (PLS) and random forest (RF) models were applied, and performance was assessed using root mean square error (RMSE), coefficient of determination (r2), and ratio of performance to interquartile distance (RPIQ) analyses. The most accurate pH predictions were achieved with RF under Scenario B using trimming + standard normal variate (SNV) + moving weighted average (MWA) preprocessing, yielding r2 values of 0.95 (CAL) and 0.91 (VAL), with RMSEs of 0.23 (CAL) and 0.57 (VAL), and RPIQs of 4.33 (CAL) and 4.61 (VAL). Overall, portable NIR spectroscopy demonstrated strong potential for soil pH prediction in ash-enriched soil, emphasizing the critical role of appropriate spectral preprocessing to avoid overfitting. These findings provide insights into applying portable NIR spectroscopy as a cost-effective tool for monitoring soil pH following wildfires.

New from Applied Spectroscopy!
Prediction of Soil pH in Ash-Enriched Laboratory Columns Using Portable Near-Infrared Spectroscopy: A Comparison of Analytical Strategies
Read more: https://doi.org/10.1177/00037028251385574
#SAS #Spectroscopy #NIR #soil #pH #wildfires #ash

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National Wind Watch
National Wind Watch
@wind-watch.org
2 months ago
Preview
Drumquin residents voice strong opposition to proposed wind farm developments #NIR Residents of Drumquin have raised growing concerns over plans for a series of new wind farm developments which they say could dramatically alter the character, landscape and quality of life in the village and surrounding hills. The concerns were highlighted on December 30, when around 60 people took part in a community walk around the Dooish and Dunnaree hills. The walk, held on a bright winter morning, brought together local residents, supporters from neighbouring Plumbridge and people home for the . . .

Drumquin residents voice strong opposition to proposed wind farm developments #NIR: Residents of Drumquin have raised growing concerns over plans for a series of new wind farm developments which they say could dramatically alter the character, landscape and quality of life in… #windpower #windenergy

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National WInd Watch
National WInd Watch
@windwatchorg.mstdn.social.ap.brid.gy
2 months ago
Post image

Drumquin residents voice strong opposition to proposed wind farm developments #NIR: Residents of Drumquin have raised growing concerns over plans for a series of new wind farm developments which they say could dramatically alter the character, landscape and […]

[Original post on mstdn.social]

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GLOBAL Visibility aéPiot - by aePiot.ro
GLOBAL Visibility aéPiot - by aePiot.ro
@globalvisibility.bsky.social
2 months ago
95% Direct Traffic: What It Really Means for Platform Success. A Deep Dive into aéPiot's Exceptional User Loyalty Metrics. 95% Direct Traffic: What It Really Means for Platform Success A Deep Dive into aéPiot's Exceptional User Loyalty Metrics Publication Dat...

better-experience.blogspot.com/2026/01/95-d...

#SPYTICE
multi-search-tag-explorer.headlines-world.com/advanced-sea...
#ONYX HIPHOPOVÁ #SKUPINA
aepiot.ro/advanced-sea...
#NIR #BARKAT
multi-search-tag-explorer.aepiot.ro/advanced-sea...
aepiot.com

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Society for Applied Spectroscopy
Society for Applied Spectroscopy
@sasspectroscopy.bsky.social
2 months ago
Abstract: Currently, there is increasing interest in identifying the mechanistic characteristics of the α-synuclein amyloid protein aggregation during its early stages. The initiation of amyloid protein incubation was investigated by applying the concepts of hydrophobic hydration in the early-formed protein aggregates and the light transport in the protein samples by using near-infrared light. These are unexplored concepts in amyloid protein aggregation research. Early-formed protein aggregates develop solvent-exposed hydrophobic residue segments, and intramolecular and intermolecular interactions can be identified by hydrophobic hydration, while consecutive intramolecular interactions can cancel this effect. In the light transport within protein samples, at low protein concentrations, the early-formed protein aggregates achieve stability, whereas at higher concentrations, such as those found in neuronal synapses (∼50  µM), the early-formed aggregates continue to develop.

Abstract: Currently, there is increasing interest in identifying the mechanistic characteristics of the α-synuclein amyloid protein aggregation during its early stages. The initiation of amyloid protein incubation was investigated by applying the concepts of hydrophobic hydration in the early-formed protein aggregates and the light transport in the protein samples by using near-infrared light. These are unexplored concepts in amyloid protein aggregation research. Early-formed protein aggregates develop solvent-exposed hydrophobic residue segments, and intramolecular and intermolecular interactions can be identified by hydrophobic hydration, while consecutive intramolecular interactions can cancel this effect. In the light transport within protein samples, at low protein concentrations, the early-formed protein aggregates achieve stability, whereas at higher concentrations, such as those found in neuronal synapses (∼50  µM), the early-formed aggregates continue to develop.

New from Applied Spectroscopy!
Hydrophobic Hydration and Light Transport in α-Synuclein Protein Solutions in the Near-Infrared
Read more: https://doi.org/10.1177/00037028251367004
#SAS #Spectroscopy #NIR #protein #aggregation #amyloid #UVVis

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Diccionario Abierto
Diccionario Abierto
@significadode.bsky.social
2 months ago

Significado de #nir palabra corta y confusa que suena a sigla o concepto técnico, etimología dudosa quizá acrónimo moderno.. nir

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Dicionário colaborativo Espanhol
Dicionário colaborativo Espanhol
@ptsignificadode.bsky.social
2 months ago

Significado de #nir uma palavra curta e confusa que soa como um acrônimo ou conceito técnico, uma etimologia duvidosa, talvez uma sigla moderna.. nir

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Spanish open dictionary
Spanish open dictionary
@wordmeaningdic.bsky.social
2 months ago

Meaning of #nir a short and confusing word that sounds like an acronym or technical concept, a dubious etymology perhaps a modern acronym.. nir

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Nikon Microscope Solutions
Nikon Microscope Solutions
@healthcare.nikon.com
2 months ago
Video

🚀 Nikon Spatial Array Confocal #NSPARC is a sensitive detector in near-infra red #NIR too!

👉 Learn more about the NIR option here: https://bit.ly/48U7crk

Sample: Cell 4C NIR from Gattaquant - DAPI (light blue), TOMM20 AF488 (yellow), Actin AF647 (indigo), Tubulin AF750 (magenta)

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National WInd Watch
National WInd Watch
@windwatchorg.mstdn.social.ap.brid.gy
2 months ago
Post image

(archive: 2017) Wind farms and groundwater impacts: A practice guide to EIA and Planning considerations #NIR: What impact can a wind farm have on groundwater? The development of a wind farm has the potential to impact on groundwater quality, groundwater quantity […]

[Original post on mstdn.social]

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National Wind Watch
National Wind Watch
@wind-watch.org
2 months ago
Preview
(archive: 2017) Wind farms and groundwater impacts: A practice guide to EIA and Planning considerations #NIR What impact can a wind farm have on groundwater? The development of a wind farm has the potential to impact on groundwater quality, groundwater quantity and/or the established groundwater flow regime. Figure 1 shows the scale and extent of the foundation of a single wind turbine which could potentially impact on the aquatic environment. Changes to the local water environment can affect receptors such as wells/boreholes, springs, wetlands and waterways, and can also have implications for groundwater dependent ecology and/or . . .

(archive: 2017) Wind farms and groundwater impacts: A practice guide to EIA and Planning considerations #NIR: What impact can a wind farm have on groundwater? The development of a wind farm has the potential to impact on groundwater quality, groundwater quantity and/or the… #windpower #windenergy

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Society for Applied Spectroscopy
Society for Applied Spectroscopy
@sasspectroscopy.bsky.social
2 months ago
Abstract This study proposes a method to remove background pixels from near-infrared hyperspectral images based on the pixel-wise standard deviation of reflectance method (px-wise SD method). This method calculates the standard deviation (SD) of reflectance in each pixel, namely each spectrum, and determines a threshold to distinguish between background and object pixels from the resulting histogram of the px-wise SD. The method effectiveness is evaluated using hyperspectral images of a leaf-like pastry with a hole placed on either a low-reflectance sheet or white paper. On white paper, the px-wise SD of reflectance exhibits a trimodal histogram with two prominent peaks and one small peak between them. The prominent peak with a lower SD corresponds to the white paper pixels, whereas the other peak with a higher SD is associated with the surface and edge pixels of the pastry. The small peak represents the pixels of the hole. The background and object pixels can be effectively separated by setting a threshold between this small peak and the prominent peak for the pastry pixels. Moreover, the mean spectrum calculated using only object pixels remains consistent, regardless of the type of background material. Conversely, the mean spectrum calculated using all pixels is distorted due to the spectral inclusion of the background material.

Abstract This study proposes a method to remove background pixels from near-infrared hyperspectral images based on the pixel-wise standard deviation of reflectance method (px-wise SD method). This method calculates the standard deviation (SD) of reflectance in each pixel, namely each spectrum, and determines a threshold to distinguish between background and object pixels from the resulting histogram of the px-wise SD. The method effectiveness is evaluated using hyperspectral images of a leaf-like pastry with a hole placed on either a low-reflectance sheet or white paper. On white paper, the px-wise SD of reflectance exhibits a trimodal histogram with two prominent peaks and one small peak between them. The prominent peak with a lower SD corresponds to the white paper pixels, whereas the other peak with a higher SD is associated with the surface and edge pixels of the pastry. The small peak represents the pixels of the hole. The background and object pixels can be effectively separated by setting a threshold between this small peak and the prominent peak for the pastry pixels. Moreover, the mean spectrum calculated using only object pixels remains consistent, regardless of the type of background material. Conversely, the mean spectrum calculated using all pixels is distorted due to the spectral inclusion of the background material.

New from Applied Spectroscopy!
Background Pixel Removal for Near-Infrared Hyperspectral Images Based on the Pixel-Wise Standard Deviation of Reflectance
Read Open Access 🔓: https://doi.org/10.1177/00037028251368377
#SAS #Spectroscopy #NIR #hyperspectral #image #remove #background #pixels

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Phenomics
Phenomics
@phenomics.bsky.social
2 months ago

Key insights:
✅ High-throughput platforms accelerate #CropImprovement efforts by automating trait analysis.
✅ Integration of #ImagingTechniques like #RGB, #NIR, and #ThermalImaging opens up new ways to monitor plant growth in real-time. 🌿📸

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Society for Applied Spectroscopy
Society for Applied Spectroscopy
@sasspectroscopy.bsky.social
2 months ago
Abstract Tropical mosquitoes transmit diseases like malaria, yellow fever, and Zika. Classifying mosquitoes by species, sex, age, and gravidity offers vital insights for assessing transmission risk and effective mitigations. Photonic monitoring for mosquito classification can be used in distributed sensors or lidars on longer ranges. However, a reflectance model and its parameters are lacking in the current literature. This study investigates mosquitoes of different species, sexes, age groups, and gravidity states, and reports metric pathlengths of wing chitin, body melanin, and water. We use hyperspectral push-broom imaging and laser multiplexing with a rotation stage to measure near-infrared spectra from different angles and develop simple models for spectral reflectance, including wing thickness and equivalent absorption path lengths for melanin and water. We demonstrate wing thickness of 174 (±1) nm – the thinnest wings reported to our knowledge. Water and melanin pathlengths are determined with ∼10 µm precision, and spectral models achieve adjusted R² values exceeding 95%. While mosquito aspect angle impacts the optical cross-section, it alters shortwave infrared spectra minimally (∼2%). These results demonstrate the potential for remote retrieval of micro- and nanoscopic mosquito features using spectral sensors and lidars irrespective of insect body orientation. Improved specificity of vector monitoring can be foreseen.

Abstract Tropical mosquitoes transmit diseases like malaria, yellow fever, and Zika. Classifying mosquitoes by species, sex, age, and gravidity offers vital insights for assessing transmission risk and effective mitigations. Photonic monitoring for mosquito classification can be used in distributed sensors or lidars on longer ranges. However, a reflectance model and its parameters are lacking in the current literature. This study investigates mosquitoes of different species, sexes, age groups, and gravidity states, and reports metric pathlengths of wing chitin, body melanin, and water. We use hyperspectral push-broom imaging and laser multiplexing with a rotation stage to measure near-infrared spectra from different angles and develop simple models for spectral reflectance, including wing thickness and equivalent absorption path lengths for melanin and water. We demonstrate wing thickness of 174 (±1) nm – the thinnest wings reported to our knowledge. Water and melanin pathlengths are determined with ∼10 µm precision, and spectral models achieve adjusted R² values exceeding 95%. While mosquito aspect angle impacts the optical cross-section, it alters shortwave infrared spectra minimally (∼2%). These results demonstrate the potential for remote retrieval of micro- and nanoscopic mosquito features using spectral sensors and lidars irrespective of insect body orientation. Improved specificity of vector monitoring can be foreseen.

New from Applied Spectroscopy!
Deadliest Animals with the Thinnest Wings: Near-Infrared Properties of Tropical Mosquitoes
Read open access 🔓: https://doi.org/10.1177/00037028251341317
#SAS #Spectroscopy #NIR #mosquitoes #spectral #reflectance #remote #hyperspectral

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Tabacow PSOL
Tabacow PSOL
@tabacowpsol.bsky.social
3 months ago
Post image

O Congresso atual é inimigo do Povo. #CongressoinImigoDoPovo
#PARTIDOS DEFENSORES DE #BANDIDOS E #ASSASSINOS
#NOVO
#PRD
#PL
#PODEMOS
#SOLIDARIEDADE
#UniãoBrasil
#PP
#PSDB
#AVANTE
#CIDADANIA
#REPUBLICANOS
#MDB
#PSD

#Brasil #NucleoDeInclusãoEReflexão #NIR #GlauberFica 🙌

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Society for Applied Spectroscopy
Society for Applied Spectroscopy
@sasspectroscopy.bsky.social
3 months ago
Image consists of a picture of the sorting instrument, image of two kernels (waxy and wild type), and a scheme of the process: maize kernels -> near-infrared reflectance (NIR) Spectroscopy -> linear discriminant analysis (LDA) -> waxy maize prediction equation -> images of training and validation sets -> Waxy maize kernel validation prediction accuracy: 88% -> NIR single kernel waxy sorting

Image consists of a picture of the sorting instrument, image of two kernels (waxy and wild type), and a scheme of the process: maize kernels -> near-infrared reflectance (NIR) Spectroscopy -> linear discriminant analysis (LDA) -> waxy maize prediction equation -> images of training and validation sets -> Waxy maize kernel validation prediction accuracy: 88% -> NIR single kernel waxy sorting

New from Applied Spectroscopy!
Classification of #Waxy #Maize Kernels Using Single #Kernel Near-Infrared Reflectance #Spectroscopy

Read more: https://doi.org/10.1177/00037028251349556
#SAS #NIR #reflectance #corn #nondestructive

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Society for Applied Spectroscopy
Society for Applied Spectroscopy
@sasspectroscopy.bsky.social
3 months ago
Real-Time Mapping of Polymer Film Thickness Using Near-Infrared Hyperspectral Imaging Real-Time Mapping of Polymer Film Thickness Using Near-Infrared Hyperspectral Imaging

New from @appliedspec.bsky.social!

Real-Time #Mapping of #Polymer Film Thickness Using Near-Infrared #NIR #HyperspectralImaging

Read the full article here: https://loom.ly/H_NROCw

#SAS #spectroscopy

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David Lane
David Lane
@dml125.bsky.social
4 months ago
Preview
A New Light-Based Cancer Treatment Kills Tumor Cells and Spares Healthy Ones By combining LED technology and nanomaterials, researchers have created a therapy that eliminates cancer cells using localized heat without damaging healthy tissue.

#cancer
#nir
#light-based
#led
🧪

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Jonny Blair
Jonny Blair
@jonnyblair.bsky.social
4 months ago
Preview
All the Stations - Northern Ireland Have you ever wondered what there is to do in Northern Ireland, using public transport, more specifically trains? World exploration starts at home so here is a guide to all 54 Railway stations in Nort...

Can you visit EVERY train🚂🚉 station in Northern Ireland🧤☘️ in one day? Well you could using the special day ticket from NIR. A very decent guide here by my friend Mark AKA Norn Iron Nomad. #nornironnomad #nir #northernireland #norniron #northernirelandrailways www.nornironnomad.com/post/all-the...

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National WInd Watch
National WInd Watch
@windwatchorg.mstdn.social.ap.brid.gy
4 months ago
Post image

Wind turbine ‘destroyed’ in Co Down arson attack #NIR: A wind turbine has been destroyed in an arson attack in Co Down. Police have said the turbine in Ardglass was targeted in the early hours of Thursday. A police spokesperson said it was destroyed from the […]

[Original post on mstdn.social]

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National Wind Watch
National Wind Watch
@wind-watch.org
4 months ago
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Wind turbine ‘destroyed’ in Co Down arson attack #NIR A wind turbine has been destroyed in an arson attack in Co Down. Police have said the turbine in Ardglass was targeted in the early hours of Thursday. A police spokesperson said it was destroyed from the inside. “The turbine, which was located on Ardglass Road, was entered and deliberately set alight at around 3.30am on Thursday October 16, completely destroying the structure from the inside,” they said. “Officers investigating this crime are working to establish a motive and are . . .

Wind turbine ‘destroyed’ in Co Down arson attack #NIR: A wind turbine has been destroyed in an arson attack in Co Down. Police have said the turbine in Ardglass was targeted in the early hours of Thursday. A police spokesperson said it was destroyed from the inside. “The… #windpower #windenergy

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