Review




Structured Review

Photonics Inc low cost hyperspectral imaging
Low Cost Hyperspectral Imaging, supplied by Photonics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hyperspectral+imaging/applications+hyperspectral+imaging+jphys+photonics/pm42311212-292-21-1
Average 86 stars, based on 1 article reviews
low cost hyperspectral imaging - by Bioz Stars, 2026-09
86/100 stars

Images

Related Articles

Imaging:

Article Title: Harnessing the Synergy between Upconverting Nanoparticles and Lanthanide Complexes in a Multiwavelength-Responsive Hybrid System
Article Snippet: We prepared a hybrid system composed of a continuous film of dinuclear lanthanide complex [Ln2bpm(tfaa)6] (Ln = Tb or Eu) and upconverting nanoparticles (UCNPs) using a straightforward drop-cast methodology.. The system displayed visible emission under nearinfrared (NIR) excitation, simultaneously stemming from sub-10-nm UCNPs and [Ln2] complexes, the latter species being otherwise directly excitable only using UV-blue radiation.. In light of the results of steady-state – including power-dependent – and time-resolved optical measurements, we identified the radiative, primarily ligand-mediated nature of the energy transfer from Tm ions in the UCNPs-to-Ln ions in the complexes.

Article Title: Quantification of aluminium trihydrate flame retardant in polyolefins via in-line hyperspectral imaging and machine learning for safe sorting.
Article Snippet: .. Quantification of aluminium trihydrate flame retardant in polyolefins via in-line hyperspectral imaging and machine learning for safe sorting Georgiana Amariei a, Martin Lahn Henriksen a, Pernille Klarskov b, Mogens Hinge a,* a Plastic and Polymer Engineering, Department of Biological and Chemical Engineering, Aarhus University, Aabogade 40, DK-8200 Aarhus N., Denmark b Terahertz Photonics, Department of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, DK-8200 Aarhus N., Denmark H I G H L I G H T S G R A P H I C A L A B S T R A C T • ATH was detected in polyolefins by industrial hyperspectral imaging. ..

Article Title: Influence of physical and biological variability and solution methods in fruit and vegetable quality nondestructive inspection by using imaging and near-infrared spectroscopy techniques: A review.
Article Snippet: Over the past decades, imaging and spectroscopy techniques have been rapidly developing and widely applied in non-destructive fruit and vegetable quality assessment.. The physical properties (including size, shape, color, position and temperature) and biological properties (including cultivar, season, maturity level and geographical origin) of fruits and vegetables vary from one to another.. A great variety of physical and biological properties of agricultural products influence the optical propagation properties and interaction behaviors with incident light, thus decreasing the quality inspection accuracy.

Article Title: Hyperspectral imaging for identification of irregular-shaped microplastics in water.
Article Snippet: .. Hyperspectral imaging for identification of irregular-shaped microplastics in water A. Gebejes a,*, B. Hrovat b, D. Semenov c, B. Kanyathare a, T. Itkonen a, M. Keinänen d, A. Koistinen b, K.-E. Peiponen a, M. Roussey a a Department of Physics and Mathematics, Center for Photonics Sciences, University of Eastern Finland, P.O. ..

Article Title: Frontmatter
Article Snippet: Removal Eric L Wisotzky (Fraunhofer Heinrich Hertz Institute HHI & HumboldtUniversität zu Berlin, Germany); Jean-Claude Rosenthal (Fraunhofer Heinrich-Hertz-Institute, Germany); Anna Hilsmann (Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut, Germany); Peter Eisert (Fraunhofer HHI & Humboldt University, Germany); Florian Uecker (Charité University Hospital Berlin, Germany) D2.1 Medical Photonics (2) .. Photonics Semi-automatic decision-making process in histopathological specimens from Barrett's carcinoma patients by Hyperspectral imaging (HSI) .. Leipzig, Innovation Center Computer Assisted Surgery (ICCAS), Germany); Claire Chalopin (University of Leipzig, Germany); Boris Jansen-Winkeln (University Hospital of Leipzig, Germany); Thomas Neumuth (Universität Leipzig, Germany); Henning Ahle (Sana Clinic Offenbach GmbH, Germany); Dietmar Lorenz (Municipal Hospital of Darmstadt GmbH, Germany); Michael Bange and Susanne Braun (Institute of Pathology, Sana Clinic Offenbach GmbH, Germany); Ines Gockel and René Thieme (University Hospital of Leipzig, Germany) D2.2 Medical Photonics (2)

Article Title: Fast phase retrieval in off-axis digital holographic microscopy through deep learning
Article Snippet: .. H. N. D. Le, M. S. Kim, and D. H. Kim, “Comparison of Singular Value Decomposition and Principal Component Analysis applied to Hyperspectral Imaging of biofilm,” in Photonics Conference (2012), pp. ..

Polymer:

Article Title: Quantification of aluminium trihydrate flame retardant in polyolefins via in-line hyperspectral imaging and machine learning for safe sorting.
Article Snippet: .. Quantification of aluminium trihydrate flame retardant in polyolefins via in-line hyperspectral imaging and machine learning for safe sorting Georgiana Amariei a, Martin Lahn Henriksen a, Pernille Klarskov b, Mogens Hinge a,* a Plastic and Polymer Engineering, Department of Biological and Chemical Engineering, Aarhus University, Aabogade 40, DK-8200 Aarhus N., Denmark b Terahertz Photonics, Department of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, DK-8200 Aarhus N., Denmark H I G H L I G H T S G R A P H I C A L A B S T R A C T • ATH was detected in polyolefins by industrial hyperspectral imaging. ..

other:

Article Title: Polarization-Independent, Narrowband, Near-IR Spectral Filters via Guided Mode Resonances in Ultrathin a-Si Nanopillar Arrays
Article Snippet: We report the optical properties obtained through experiments, simulation, and theory, of ultra-thin (<0.1λ), amorphous Si nanopillar arrays embedded in a thin film of SiO2 designed for Page 1 of 37 ACS Paragon Plus Environment ACS Photonics 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 2 narrowband filtering for multiand hyper-spectral imaging in the near-infrared.. The fabricated nanopillar arrays are square-packed with subwavelength periodicity, heights of ~100 nm, and a radius-to-spacing ratio, r/a, of ~0.2.. Specular reflection measurements at normal incidence demonstrate that these arrays behave as narrow stopband filters in the near-infrared (λ = 13001700 nm) and attain ~90% reflectivity in band and a full width at half maximum as low as 20 nm.

Comparison:

Article Title: Fast phase retrieval in off-axis digital holographic microscopy through deep learning
Article Snippet: .. H. N. D. Le, M. S. Kim, and D. H. Kim, “Comparison of Singular Value Decomposition and Principal Component Analysis applied to Hyperspectral Imaging of biofilm,” in Photonics Conference (2012), pp. ..



Similar Products

99
Oxford Instruments hyperspectral raman imaging
Visualization of intracellular biomolecular composition of senescent cells using <t>hyperspectral</t> <t>Raman</t> imaging. (A) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 10 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (B) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 15 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (C) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 18 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (D) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 25 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (E) Scatter plot of the projected loadings of the contribution of the Raman shifts to the principal components PC1 and PC2 in the PCA of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence after treatment with Doxo (150 nM). Red highlighted points show projected loadings of Raman shifts corresponding to CH 2 stretching (2850 cm –1 ). Green points show projected loadings of Raman shifts corresponding to CC or NCO stretching (1655 cm –1 ). Blue points show projected loadings of Raman shifts corresponding to CH 3 stretching (2920 cm –1 ), and yellow points show projected loadings of Raman shifts corresponding to CH 2 scissoring or CH 2 /CH 3 bending (1445 cm –1 ). (F) Cell-averaged peak intensity of the CH 2 stretching peak (2850 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (G) Cell-averaged peak intensity of the CH 3 stretching peak (2920 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (The standard deviation between replicates was plotted as error bars. Statistical significance was tested by the two-tailed Student’s t test assuming heteroscedastic distributions. *** p < 0.001, **** p < 0.0001.)
Hyperspectral Raman Imaging, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hyperspectral+imaging/alpha300/pmc12980196-68-0-13
Average 99 stars, based on 1 article reviews
hyperspectral raman imaging - by Bioz Stars, 2026-09
99/100 stars
  Buy from Supplier

90
Optina Diagnostics Inc hyperspectral imaging
Visualization of intracellular biomolecular composition of senescent cells using <t>hyperspectral</t> <t>Raman</t> imaging. (A) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 10 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (B) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 15 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (C) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 18 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (D) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 25 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (E) Scatter plot of the projected loadings of the contribution of the Raman shifts to the principal components PC1 and PC2 in the PCA of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence after treatment with Doxo (150 nM). Red highlighted points show projected loadings of Raman shifts corresponding to CH 2 stretching (2850 cm –1 ). Green points show projected loadings of Raman shifts corresponding to CC or NCO stretching (1655 cm –1 ). Blue points show projected loadings of Raman shifts corresponding to CH 3 stretching (2920 cm –1 ), and yellow points show projected loadings of Raman shifts corresponding to CH 2 scissoring or CH 2 /CH 3 bending (1445 cm –1 ). (F) Cell-averaged peak intensity of the CH 2 stretching peak (2850 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (G) Cell-averaged peak intensity of the CH 3 stretching peak (2920 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (The standard deviation between replicates was plotted as error bars. Statistical significance was tested by the two-tailed Student’s t test assuming heteroscedastic distributions. *** p < 0.001, **** p < 0.0001.)
Hyperspectral Imaging, supplied by Optina Diagnostics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hyperspectral+imaging/hyperspectral+camera+optina+4c/nct06161636-3-10-12
Average 90 stars, based on 1 article reviews
hyperspectral imaging - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

86
Photonics Inc low cost hyperspectral imaging
Visualization of intracellular biomolecular composition of senescent cells using <t>hyperspectral</t> <t>Raman</t> imaging. (A) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 10 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (B) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 15 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (C) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 18 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (D) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 25 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (E) Scatter plot of the projected loadings of the contribution of the Raman shifts to the principal components PC1 and PC2 in the PCA of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence after treatment with Doxo (150 nM). Red highlighted points show projected loadings of Raman shifts corresponding to CH 2 stretching (2850 cm –1 ). Green points show projected loadings of Raman shifts corresponding to CC or NCO stretching (1655 cm –1 ). Blue points show projected loadings of Raman shifts corresponding to CH 3 stretching (2920 cm –1 ), and yellow points show projected loadings of Raman shifts corresponding to CH 2 scissoring or CH 2 /CH 3 bending (1445 cm –1 ). (F) Cell-averaged peak intensity of the CH 2 stretching peak (2850 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (G) Cell-averaged peak intensity of the CH 3 stretching peak (2920 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (The standard deviation between replicates was plotted as error bars. Statistical significance was tested by the two-tailed Student’s t test assuming heteroscedastic distributions. *** p < 0.001, **** p < 0.0001.)
Low Cost Hyperspectral Imaging, supplied by Photonics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hyperspectral+imaging/applications+hyperspectral+imaging+jphys+photonics/pm42311212-292-21-1
Average 86 stars, based on 1 article reviews
low cost hyperspectral imaging - by Bioz Stars, 2026-09
86/100 stars
  Buy from Supplier

86
Photonics Inc real time hyperspectral imager
Visualization of intracellular biomolecular composition of senescent cells using <t>hyperspectral</t> <t>Raman</t> imaging. (A) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 10 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (B) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 15 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (C) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 18 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (D) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 25 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (E) Scatter plot of the projected loadings of the contribution of the Raman shifts to the principal components PC1 and PC2 in the PCA of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence after treatment with Doxo (150 nM). Red highlighted points show projected loadings of Raman shifts corresponding to CH 2 stretching (2850 cm –1 ). Green points show projected loadings of Raman shifts corresponding to CC or NCO stretching (1655 cm –1 ). Blue points show projected loadings of Raman shifts corresponding to CH 3 stretching (2920 cm –1 ), and yellow points show projected loadings of Raman shifts corresponding to CH 2 scissoring or CH 2 /CH 3 bending (1445 cm –1 ). (F) Cell-averaged peak intensity of the CH 2 stretching peak (2850 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (G) Cell-averaged peak intensity of the CH 3 stretching peak (2920 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (The standard deviation between replicates was plotted as error bars. Statistical significance was tested by the two-tailed Student’s t test assuming heteroscedastic distributions. *** p < 0.001, **** p < 0.0001.)
Real Time Hyperspectral Imager, supplied by Photonics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hyperspectral+imaging/brillouin+domain+optical+sensors+time/10__1002_slash_adom__71342-258-8-22
Average 86 stars, based on 1 article reviews
real time hyperspectral imager - by Bioz Stars, 2026-09
86/100 stars
  Buy from Supplier

86
Mendeley Ltd hyperspectral image
<t>Hyperspectral</t> image tree species identification results for various feature combinations
Hyperspectral Image, supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hyperspectral+imaging/hyperspectral+image/pmc13126020-47-0-6
Average 86 stars, based on 1 article reviews
hyperspectral image - by Bioz Stars, 2026-09
86/100 stars
  Buy from Supplier

86
Photon Etc hyperspectral mouse imaging system
<t>Hyperspectral</t> image tree species identification results for various feature combinations
Hyperspectral Mouse Imaging System, supplied by Photon Etc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hyperspectral+imaging/hyperspectral+imaging+mouse+system/pm42089917-57-18-25
Average 86 stars, based on 1 article reviews
hyperspectral mouse imaging system - by Bioz Stars, 2026-09
86/100 stars
  Buy from Supplier

86
Innov X Systems hyperspectral imaging
<t>Hyperspectral</t> image tree species identification results for various feature combinations
Hyperspectral Imaging, supplied by Innov X Systems, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hyperspectral+imaging/hyperspectral+imaging/pm42086733-369-35-1
Average 86 stars, based on 1 article reviews
hyperspectral imaging - by Bioz Stars, 2026-09
86/100 stars
  Buy from Supplier

86
Photon Etc hyperspectral imager
<t>Hyperspectral</t> image tree species identification results for various feature combinations
Hyperspectral Imager, supplied by Photon Etc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hyperspectral+imaging/hyperspectral+ima+microscope/pm41912516-239-12-14
Average 86 stars, based on 1 article reviews
hyperspectral imager - by Bioz Stars, 2026-09
86/100 stars
  Buy from Supplier

86
Photonics Inc super resolved snapshot hyperspectral imaging
<t>Hyperspectral</t> image tree species identification results for various feature combinations
Super Resolved Snapshot Hyperspectral Imaging, supplied by Photonics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hyperspectral+imaging/applications+hyperspectral+imaging+jphys+photonics/arxiv__2603__23759-194-23-37
Average 86 stars, based on 1 article reviews
super resolved snapshot hyperspectral imaging - by Bioz Stars, 2026-09
86/100 stars
  Buy from Supplier

86
Princeton Instruments hyperspectral imaging spectrograph
<t>Hyperspectral</t> image tree species identification results for various feature combinations
Hyperspectral Imaging Spectrograph, supplied by Princeton Instruments, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hyperspectral+imaging/hyperspectral+imaging+spectrograph/pm41702901-274-7-10
Average 86 stars, based on 1 article reviews
hyperspectral imaging spectrograph - by Bioz Stars, 2026-09
86/100 stars
  Buy from Supplier

Image Search Results


Visualization of intracellular biomolecular composition of senescent cells using hyperspectral Raman imaging. (A) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 10 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (B) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 15 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (C) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 18 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (D) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 25 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (E) Scatter plot of the projected loadings of the contribution of the Raman shifts to the principal components PC1 and PC2 in the PCA of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence after treatment with Doxo (150 nM). Red highlighted points show projected loadings of Raman shifts corresponding to CH 2 stretching (2850 cm –1 ). Green points show projected loadings of Raman shifts corresponding to CC or NCO stretching (1655 cm –1 ). Blue points show projected loadings of Raman shifts corresponding to CH 3 stretching (2920 cm –1 ), and yellow points show projected loadings of Raman shifts corresponding to CH 2 scissoring or CH 2 /CH 3 bending (1445 cm –1 ). (F) Cell-averaged peak intensity of the CH 2 stretching peak (2850 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (G) Cell-averaged peak intensity of the CH 3 stretching peak (2920 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (The standard deviation between replicates was plotted as error bars. Statistical significance was tested by the two-tailed Student’s t test assuming heteroscedastic distributions. *** p < 0.001, **** p < 0.0001.)

Journal: ACS Omega

Article Title: Analysis of Intracellular Fatty Acid Metabolism during Doxorubicin-Induced Senescence of MCF7 Cells Using Raman Imaging

doi: 10.1021/acsomega.5c09213

Figure Lengend Snippet: Visualization of intracellular biomolecular composition of senescent cells using hyperspectral Raman imaging. (A) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 10 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (B) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 15 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (C) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 18 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (D) Principal component analysis of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during proliferation and 25 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (E) Scatter plot of the projected loadings of the contribution of the Raman shifts to the principal components PC1 and PC2 in the PCA of hyperspectral Raman images of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence after treatment with Doxo (150 nM). Red highlighted points show projected loadings of Raman shifts corresponding to CH 2 stretching (2850 cm –1 ). Green points show projected loadings of Raman shifts corresponding to CC or NCO stretching (1655 cm –1 ). Blue points show projected loadings of Raman shifts corresponding to CH 3 stretching (2920 cm –1 ), and yellow points show projected loadings of Raman shifts corresponding to CH 2 scissoring or CH 2 /CH 3 bending (1445 cm –1 ). (F) Cell-averaged peak intensity of the CH 2 stretching peak (2850 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (G) Cell-averaged peak intensity of the CH 3 stretching peak (2920 cm –1 ) obtained from hyperspectral Raman imaging of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (The standard deviation between replicates was plotted as error bars. Statistical significance was tested by the two-tailed Student’s t test assuming heteroscedastic distributions. *** p < 0.001, **** p < 0.0001.)

Article Snippet: Hyperspectral Raman imaging was done using an alpha 300 Ri system (WITec GmbH, Oxford Instruments) using the following parameters: objective: 40× air; laser: 532 nm; laser power: 60 mW; scan speed: 2 s/pixel; pixel size: 1 μm/pixel; detector grating: 600 mm –1 .

Techniques: Imaging, Standard Deviation, Two Tailed Test

Visualization of intracellular biomolecular composition of lipid-rich regions in senescent cells using hyperspectral Raman imaging. (A) Representative heatmaps of lipid-rich regions in MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence after treatment with Doxo (150 nM). (B) Principal component analysis of Raman spectra isolated from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during proliferation and 10 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (C) Principal component analysis of Raman spectra isolated from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during proliferation and 15 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (D) Principal component analysis of Raman spectra isolated from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during proliferation and 18 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (E) Principal component analysis of Raman spectra isolated from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during proliferation and 25 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (F) Scatter plot of the projected loadings of the contribution of Raman shifts to the principal components PC1 and PC2 in the PCA of pixel-by-pixel Raman spectra obtained from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence after treatment with Doxo (150 nM). Red highlighted points show projected loadings of Raman shifts corresponding to CH 2 stretching (2850 cm –1 ). Green points show projected loadings of Raman shifts corresponding to CC or NCO stretching (1655 cm –1 ). Blue points show projected loadings of Raman shifts corresponding to CH 3 stretching (2920 cm –1 ), and yellow points show projected loadings of Raman shifts corresponding to CH 2 scissoring or CH 2 /CH 3 bending (1445 cm –1 ). (G) Averaged peak intensity of the CH 2 stretching peak (2850 cm –1 ) in Raman spectra obtained from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (The standard deviation between replicates was plotted as error bars. Statistical significance was tested by the two-tailed Student’s t test assuming heteroscedastic distributions. *** p < 0.001, **** p < 0.0001.)

Journal: ACS Omega

Article Title: Analysis of Intracellular Fatty Acid Metabolism during Doxorubicin-Induced Senescence of MCF7 Cells Using Raman Imaging

doi: 10.1021/acsomega.5c09213

Figure Lengend Snippet: Visualization of intracellular biomolecular composition of lipid-rich regions in senescent cells using hyperspectral Raman imaging. (A) Representative heatmaps of lipid-rich regions in MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence after treatment with Doxo (150 nM). (B) Principal component analysis of Raman spectra isolated from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during proliferation and 10 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (C) Principal component analysis of Raman spectra isolated from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during proliferation and 15 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (D) Principal component analysis of Raman spectra isolated from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during proliferation and 18 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (E) Principal component analysis of Raman spectra isolated from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during proliferation and 25 days after induction of DNA damage-mediated senescence ( n ≥ 20 cells). (F) Scatter plot of the projected loadings of the contribution of Raman shifts to the principal components PC1 and PC2 in the PCA of pixel-by-pixel Raman spectra obtained from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence after treatment with Doxo (150 nM). Red highlighted points show projected loadings of Raman shifts corresponding to CH 2 stretching (2850 cm –1 ). Green points show projected loadings of Raman shifts corresponding to CC or NCO stretching (1655 cm –1 ). Blue points show projected loadings of Raman shifts corresponding to CH 3 stretching (2920 cm –1 ), and yellow points show projected loadings of Raman shifts corresponding to CH 2 scissoring or CH 2 /CH 3 bending (1445 cm –1 ). (G) Averaged peak intensity of the CH 2 stretching peak (2850 cm –1 ) in Raman spectra obtained from the lipid-rich regions of MCF7 human breast adenocarcinoma cells during DNA damage-mediated senescence ( n ≥ 20 cells). (The standard deviation between replicates was plotted as error bars. Statistical significance was tested by the two-tailed Student’s t test assuming heteroscedastic distributions. *** p < 0.001, **** p < 0.0001.)

Article Snippet: Hyperspectral Raman imaging was done using an alpha 300 Ri system (WITec GmbH, Oxford Instruments) using the following parameters: objective: 40× air; laser: 532 nm; laser power: 60 mW; scan speed: 2 s/pixel; pixel size: 1 μm/pixel; detector grating: 600 mm –1 .

Techniques: Imaging, Isolation, Standard Deviation, Two Tailed Test

Visualization of arachidonic acid metabolism in senescent MCF7 cells using hyperspectral Raman imaging of deuterated arachidonic acid. (A) Raman spectrum of 5,6,8,9,11,​12,14,15- d 8 arachidonic acid (AA- d 8 ) showing two modes of signature spectral shifts of (CC)D stretching in the biologically silent region at 2220 (minor peak) and 2254 cm –1 (major peak). (B) Intensity of the two (CC)D stretching peaks (2220 and 2254 cm –1 ) normalized to the intensity of the total lipid peak (CH 2 stretching, 2850 cm –1 ) measured by Raman spectroscopy at different time points during PTGS2-mediated metabolism of arachidonic acid in vitro ( n ≥ 15). (C) Visualization of the intracellular distribution of AA- d 8 in senescent MCF7 cells by hyperspectral Raman imaging. (D) Ratiometric heatmaps for visualization of the intracellular distribution of AA- d 8 in senescent MCF7 cells by hyperspectral Raman imaging. (E) Intensity of the two (CC)D stretching peaks (2220 and 2254 cm –1 ) normalized to the intensity of the total lipid peak (CH 2 stretching, 2850 cm –1 ) measured by hyperspectral Raman imaging in senescent MCF7 cells at different time points after the removal of PTGS2 (COX2) inhibitor (Cay-10404). (The standard deviation between replicates was plotted as error bars. Statistical significance was tested by the two-tailed Student’s t test assuming heteroscedastic distributions. *** p < 0.001, **** p < 0.0001.)

Journal: ACS Omega

Article Title: Analysis of Intracellular Fatty Acid Metabolism during Doxorubicin-Induced Senescence of MCF7 Cells Using Raman Imaging

doi: 10.1021/acsomega.5c09213

Figure Lengend Snippet: Visualization of arachidonic acid metabolism in senescent MCF7 cells using hyperspectral Raman imaging of deuterated arachidonic acid. (A) Raman spectrum of 5,6,8,9,11,​12,14,15- d 8 arachidonic acid (AA- d 8 ) showing two modes of signature spectral shifts of (CC)D stretching in the biologically silent region at 2220 (minor peak) and 2254 cm –1 (major peak). (B) Intensity of the two (CC)D stretching peaks (2220 and 2254 cm –1 ) normalized to the intensity of the total lipid peak (CH 2 stretching, 2850 cm –1 ) measured by Raman spectroscopy at different time points during PTGS2-mediated metabolism of arachidonic acid in vitro ( n ≥ 15). (C) Visualization of the intracellular distribution of AA- d 8 in senescent MCF7 cells by hyperspectral Raman imaging. (D) Ratiometric heatmaps for visualization of the intracellular distribution of AA- d 8 in senescent MCF7 cells by hyperspectral Raman imaging. (E) Intensity of the two (CC)D stretching peaks (2220 and 2254 cm –1 ) normalized to the intensity of the total lipid peak (CH 2 stretching, 2850 cm –1 ) measured by hyperspectral Raman imaging in senescent MCF7 cells at different time points after the removal of PTGS2 (COX2) inhibitor (Cay-10404). (The standard deviation between replicates was plotted as error bars. Statistical significance was tested by the two-tailed Student’s t test assuming heteroscedastic distributions. *** p < 0.001, **** p < 0.0001.)

Article Snippet: Hyperspectral Raman imaging was done using an alpha 300 Ri system (WITec GmbH, Oxford Instruments) using the following parameters: objective: 40× air; laser: 532 nm; laser power: 60 mW; scan speed: 2 s/pixel; pixel size: 1 μm/pixel; detector grating: 600 mm –1 .

Techniques: Imaging, Raman Spectroscopy, In Vitro, Standard Deviation, Two Tailed Test

Hyperspectral image tree species identification results for various feature combinations

Journal: iScience

Article Title: Intelligent classification of dominant tree species in urban forests based on UAV hyperspectral remote sensing images

doi: 10.1016/j.isci.2026.115633

Figure Lengend Snippet: Hyperspectral image tree species identification results for various feature combinations

Article Snippet: Hyperspectral Image , This paper ; Mendeley Data , https://doi.org/10.17632/zsfshdgkvz.1 om/preview/zsfshdgkvz?a=1cdcecba-4bbb-4f38-9b80-faa245475f67.

Techniques: