Image quality evaluation for FIB-SEM images.
Diego RoldánClaudia RedenbachKatja SchladitzChristian KübelSabine SchlabachPublished in: Journal of microscopy (2024)
Focused ion beam scanning electron microscopy (FIB-SEM) tomography is a serial sectioning technique where an FIB mills off slices from the material sample that is being analysed. After every slicing, an SEM image is taken showing the newly exposed layer of the sample. By combining all slices in a stack, a 3D image of the material is generated. However, specific artefacts caused by the imaging technique distort the images, hampering the morphological analysis of the structure. Typical quality problems in microscopy imaging are noise and lack of contrast or focus. Moreover, specific artefacts are caused by the FIB milling, namely, curtaining and charging artefacts. We propose quality indices for the evaluation of the quality of FIB-SEM data sets. The indices are validated on real and experimental data of different structures and materials.
Keyphrases
- electron microscopy
- high resolution
- deep learning
- liver fibrosis
- image quality
- optical coherence tomography
- convolutional neural network
- electronic health record
- quality improvement
- mental health
- computed tomography
- big data
- single molecule
- high throughput
- machine learning
- photodynamic therapy
- single cell
- fluorescence imaging
- label free
- monte carlo