Shot noise-mitigated secondary electron imaging with ion count-aided microscopy.
Akshay AgarwalLeila KasaeiXinglin HeRuangrawee KitichotkulOğuz Kağan HititMinxu PengJ Albert SchultzLeonard C FeldmanVivek K GoyalPublished in: Proceedings of the National Academy of Sciences of the United States of America (2024)
Modern science is dependent on imaging on the nanoscale, often achieved through processes that detect secondary electrons created by a highly focused incident charged particle beam. Multiple types of measurement noise limit the ultimate trade-off between the image quality and the incident particle dose, which can preclude useful imaging of dose-sensitive samples. Existing methods to improve image quality do not fundamentally mitigate the noise sources. Furthermore, barriers to assigning a physically meaningful scale make the images qualitative. Here, we introduce ion count-aided microscopy (ICAM), which is a quantitative imaging technique that uses statistically principled estimation of the secondary electron yield. With a readily implemented change in data collection, ICAM substantially reduces source shot noise. In helium ion microscopy, we demonstrate 3[Formula: see text] dose reduction and a good match between these empirical results and theoretical performance predictions. ICAM facilitates imaging of fragile samples and may make imaging with heavier particles more attractive.
Keyphrases
- high resolution
- image quality
- air pollution
- cardiovascular disease
- computed tomography
- public health
- systematic review
- high throughput
- magnetic resonance imaging
- high speed
- type diabetes
- mass spectrometry
- deep learning
- fluorescence imaging
- drinking water
- label free
- electron transfer
- convolutional neural network
- electron microscopy