Tool to Resolve Distortions in Elemental and Isotopic Imaging.
Chixiang LuGu ChenWenxin SongKai ChenCharmaine HeeMehran NikanPaul GuagliardoC Frank BennettThazha P PrakashKillugudi Swaminathan IyerStephen G YoungXiaojuan QiHaibo JiangPublished in: Journal of the American Chemical Society (2024)
Nanoscale secondary ion mass spectrometry (NanoSIMS) makes it possible to visualize elements and isotopes in a wide range of samples at a high resolution. However, the fidelity and quality of NanoSIMS images often suffer from distortions because of a requirement to acquire and integrate multiple image frames. We developed an optical flow-based algorithm tool, NanoSIMS Stabilizer, for all-channel postacquisition registration of images. The NanoSIMS Stabilizer effectively deals with the distortions and artifacts, resulting in a high-resolution visualization of isotope and element distribution. It is open source with an easy-to-use ImageJ plugin and is accompanied by a Python version with GPU acceleration.
Keyphrases
- high resolution
- deep learning
- mass spectrometry
- convolutional neural network
- gas chromatography
- optical coherence tomography
- machine learning
- high speed
- liquid chromatography
- tandem mass spectrometry
- high performance liquid chromatography
- psychometric properties
- computed tomography
- single molecule
- neural network
- contrast enhanced