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Selleck Chemicals
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SCHOTT
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GlobalStem
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SolidWorks Corp
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Integrated Graphene
ultrafast scanning electron microscope (sem) based on the optical fiber-integrated graphene ultrafast hot-electron source ![]() Ultrafast Scanning Electron Microscope (Sem) Based On The Optical Fiber Integrated Graphene Ultrafast Hot Electron Source, supplied by Integrated Graphene, 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/scanning+electron+microscopy+%28sem%29+technique/pmc12219288-115-2-11?v=Integrated+Graphene Average 90 stars, based on 1 article reviews
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Danaher Inc
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Vazyme Biotech Co
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GenStar Biosolutions
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RenderX Inc
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SourceForge net
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JEOL
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JEOL
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Image Search Results
Journal: Nature Communications
Article Title: Stable ultrafast graphene hot-electron source on optical fiber
doi: 10.1038/s41467-025-60915-x
Figure Lengend Snippet: a Schematic diagram of our ultrafast SEM. A traditional scanning microscope body is equipped with our optical fiber-integrated graphene ultrafast hot-electron source for spatial and temporal imaging. CL: Cathodoluminescence; TCSPC: Time-correlated single-photon counting; APD: Avalanche photodiode. b Images obtained from the ultrafast electron microscope using a secondary electron detector. High signal-to-background ratio images can be captured when the laser is turned on, benefiting from the pure pulsed electrons from graphene. c CL and far-field PL spectra of CdSe/ZnS quantum dots. d Time-resolved CL and PL spectra (circles) of CdSe/ZnS quantum dots. The exponential decay fitting (solid lines) gives decay lifetimes of CL ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\tau }}_{{{{{\rm{CL}}}}}}$$\end{document} τ CL ) and PL ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\tau }}_{{{{{\rm{PL}}}}}}$$\end{document} τ PL ) of 2.5 ns and 2.6 ns, respectively. The optical excitation at 1560 nm is transmitted via optical fiber.
Article Snippet: Fig. 4
Techniques: Microscopy, Imaging
Journal: BMC Cancer
Article Title: Identification of pyroptosis-associated miRNAs in the immunoscape and prognosis of hepatocellular carcinoma
doi: 10.1186/s12885-024-13276-5
Figure Lengend Snippet: Differential expression of pyroptosis-related miRNAs in HCC and normal tissues. ( A ) Volcano plot showing differentially expressed miRNAs (DEmiRNAs) in normal (N) and tumor (T) tissues. Red dots represent up-regulated miRNAs, and green dots represent down-regulated miRNAs. ( B ) Heatmap displaying the top 20 differentially expressed miRNAs between HCC and normal tissues
Article Snippet: Extracted RNA was reverse transcribed with the
Techniques: Expressing
Journal: BMC Cancer
Article Title: Identification of pyroptosis-associated miRNAs in the immunoscape and prognosis of hepatocellular carcinoma
doi: 10.1186/s12885-024-13276-5
Figure Lengend Snippet: Construction of risk scores for prognostic models based on pyroptosis-related miRNAs. ( A ) Univariate Cox regression analysis used to identify 10 prognosis-related miRNAs. ( B ) Forest plot summarizing the results of multivariate Cox regression analysis. ( C-D ) Least absolute shrinkage and selection operator (LASSO) regression analysis for selecting the optimal miRNAs associated with overall survival
Article Snippet: Extracted RNA was reverse transcribed with the
Techniques: Selection
Journal: BMC Cancer
Article Title: Identification of pyroptosis-associated miRNAs in the immunoscape and prognosis of hepatocellular carcinoma
doi: 10.1186/s12885-024-13276-5
Figure Lengend Snippet: Validation of the pyroptosis-related miRNA prognostic model. ( A ) PCA plot of HCC patients grouped by risk scores. ( B ) Distribution of risk scores for the patient cohort. ( C ) Survival status distribution of patients. ( D ) Kaplan-Meier survival curves comparing low-risk and high-risk groups. ( E ) ROC curves for predicting 1-, 3-, and 5-year overall survival. ROC analysis was used to calculate AUC values. ( F ) Calibration curves for 1-, 3-, and 5-year overall survival. (Number of High-Risk Samples: 183. Number of Low-Risk Samples: 183)
Article Snippet: Extracted RNA was reverse transcribed with the
Techniques: