Natural SciencesMaterials EngineeringMaterials ScienceMaterials CharacterizationMaterials ChemistryNanomaterialsCarbon NanomaterialsElectron MicroscopyImage QuantificationMicrostructure AnalysisNanomaterial CharacterizationTransmission Electron MicroscopyBlack CarbonCarbon BlackHard CarbonImage-based Microstructure QuantificationMicroscopy-based AnalysisNanostructure AnalysisNanostructure CharacterizationScanning Electron Microscopy
HRTEM has long been used to analyze turbostratic carbon nanostructures, and since the 1990s digital imaging has enabled quantitative structural analysis across a range of carbon materials such as soot, carbon black, and fullerenes. The study reviews published HRTEM image‑analysis techniques, critically evaluates them, and proposes improvements to standardize measurements. The authors critically review existing methods and provide accessible computer code for the proposed techniques. Sensitivity analysis of many micrographs yields best‑practice guidelines for image acquisition and analysis, along with quantified measurement uncertainties.
High Resolution Transmission Electron Microscopy (HRTEM) has been a widely used technique for the analysis of nanostructure of turbostratic carbon. Since the late nineties, digital imaging and image analysis has made it possible to quantify and derive structural properties from HRTEM images. A number of image analysis methodologies have been proposed, based on which numerous studies drew their conclusions about a variety of materials including soot, carbon black, char, black carbon, carbon nano-onions, fullerenes, pyrocarbon, hard carbon, etc. Recognizing the need for standardization in order to make measurements comparable, repeatable and reproducible, this study is a review of published techniques and a critical analysis of a representative set of them. Based on sensitivity analysis using an extensive dataset of micrographs, best practices for image acquisition and image analysis are provided. Measurement uncertainties and sensitivities to image analysis parameters are estimated. A set of improvements to the state-of-the-art is proposed. Computer code for the presented methods is made available.
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An Introduction to the Bootstrap.
S. T. Buckland, B. Efron, Ryan J. Tibshirani · Biometrics · 1994 · 3.2K citations