Title
Scanning Transmission Electron Microscopy: Advanced Characterization Methods for Materials Science Applications,Used
Delivery time: 8-12 business days (International)
Scanning Transmission Electron Microscopy is focused on discussing the latest approaches in the recording of highfidelity quantitative annular darkfield (ADF) data. It showcases the application of machine learning in electron microscopy and the latest advancements in image processing and data interpretation for materials notoriously difficult to analyze using scanning transmission electron microscopy (STEM). It also highlights strategies to record and interpret large electron diffraction datasets for the analysis of nanostructures.This book:Discusses existing approaches for experimental design in the recording of highfidelity quantitative ADF dataPresents the most common types of scintillatorphotomultiplier ADF detectors, along with their strengths and weaknesses. Proposes strategies to minimize the introduction of errors from these detectors and avenues for dealing with residual errorsDiscusses the practice of reliable multiframe imaging, along with the benefits and new experimental opportunities it presents in electron dose or doserate managementFocuses on supervised and unsupervised machine learning for electron microscopyDiscusses open data formats, communitydriven software, and data repositoriesProposes methods to process information at both global and local scales, and discusses avenues to improve the storage, transfer, analysis, and interpretation of multidimensional datasetsProvides the spectrum of possibilities to study materials at the resolution limit by means of new developments in instrumentationRecommends methods for quantitative structural characterization of sensitive nanomaterials using electron diffraction techniques and describes strategies to collect electron diffraction patterns for such materialsThis book helps academics, researchers, and industry professionals in materials science, chemistry, physics, and related fields to understand and apply computersciencederived analysis methods to solve problems regarding data analysis and interpretation of materials properties.
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⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Secure Payment
Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.