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Case Study Category: material science

SenseAI RFI 1

Rosalind Franklin Institute speeds up 4D STEM with SenseAI

In this case study we look at how the Rosalind Franklin Institute deployed SenseAI to dramatically speed up and reduce the fluence for their 4D STEM electron microscopy. The Rosalind Franklin Institute is a leading UK research institute, dedicated to developing…

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SenseAI Kings College 1

High Speed and Low Dose Electron Microscopy for King’s College

This case study shows how King’s College London used SenseAI software to significantly speed up imaging, reduce the beam dosage (and therefore sample damage), improve contrast and obviate the requirement for a data science or computer science resource. beam damage high…

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