Differential phase contrast for quantitative imaging and spectro-microscopy at a nanoprobe beamline.
Paul D QuinnFernando Cacho-NerinMiguel A Gomez-GonzalezJulia E ParkerTimothy PoonJessica M WalkerPublished in: Journal of synchrotron radiation (2023)
The interaction of a focused X-ray beam with a sample in a scanning probe experiment can provide a variety of information about the interaction volume. In many scanning probe experiments X-ray fluorescence (XRF) is supplemented with measurements of the transmitted or scattered intensity using a pixelated detector. The automated extraction of different signals from an area pixelated detector is described, in particular the methodology for extracting differential phase contrast (DPC) is demonstrated and different processing methods are compared across a range of samples. The phase shift of the transmitted X-ray beam by the sample, extracted from DPC, is also compared with ptychography measurements to provide a qualitative and quantitative comparison. While ptychography produces a superior image, DPC can offer a simple, flexible method for phase contrast imaging which can provide fast results and feedback during an experiment; furthermore, for many science problems, such as registration of XRF in a lighter matrix, DPC can provide sufficient information to meet the experimental aims. As the DPC technique is a quantitative measurement, it can be expanded to spectroscopic studies and a demonstration of DPC for spectro-microscopy measurements is presented. Where ptychography can separate the absorption and phase shifts by the sample, quantitative interpretation of a DPC image or spectro-microscopy signal can only be performed directly when absorption is negligible or where the absorption contribution is known and the contributions can be fitted.
Keyphrases
- high resolution
- mass spectrometry
- electron microscopy
- high speed
- magnetic resonance
- deep learning
- single molecule
- public health
- mental health
- machine learning
- high throughput
- healthcare
- magnetic resonance imaging
- quantum dots
- molecular docking
- high intensity
- optical coherence tomography
- social media
- fluorescence imaging