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CRAFT For NMR: Challenging Conventions To Achieve Faster, More Accurate Analysis

NMR data contains a trove of useful information for answering a wide variety of chemical and biological problems. However, with this broad utility comes complexity. CRAFT uses a Bayesian statistical approach to convert NMR time-domain data directly to the tabular domain. This bypasses the artifacts created by the Fourier transform when producing the spectrum and makes the automated extraction of these chemical shift and intensity data tables more reliable. With CRAFT, the spectrum (or frequency-domain data) is simply a human visualization tool for the data tables.

Naomi Miller holds sample of regolith and presented the findings of the CCMS-MIT research group at M&M 2019. Also in photo are her 8th grade teacher, Doug Shattuck (left) and JEOL collaborator Vern Robertson (right).

Middle School Students Evaluate How to Build Structures from Martian Soil

That’s the problem that 8th (now 9th) grade students at Concord-Carlisle Middle School, in collaboration with Massachusetts Institute of Technology and JEOL USA, set out to solve when they responded to a NASA challenge for the development of innovative technologies to support human colonization of Mars by 2050.

Guest Blog: Seeing Is Believing – How Benchtop SEMs Are Changing the Imaging Landscape

Traditional SEM instruments have provided us with unprecedented details of every surface you can think of, from whole insects to crystals and bacteria, but can be complex to use, requiring specialist knowledge, and also require a large dedicated space. The dawn and advancement of compact and user-friendly benchtop SEMs however is changing this picture.

The Nano Nemo on the Water - Armin VahidMohammadi

Science And Art Combine For Winning SEM Images

Entitled “Nano Nemo on the Water,” entry was selected as the winner of the Grand Prize SEM Image category in JEOL’s image contest for 2017.

Marine Science Research Yields Winning SEM Image

Marine Science research yields winning SEM image

Image Contest Spotlight: Cian McKeown, University of Limerick

Cian has submitted 3 images that are all relevant to platinum nanostructures. We thought that the patterns that they form were interesting, so we asked the PhD candidate about his work with platinum.