Advanced X-ray Imaging Techniques

This paper introduces a 3D X-ray microscopy method to visualize nanoparticle transport in living plant tissue with sub-cellular resolution.

The paper develops an integrative imaging pipeline combining micro-CT and scanning electron microscopy with histology to enhance lung tissue analysis by adding 3D context and ultrastructural details.

This paper introduces a self-supervised image restoration method for X-ray holographic nanotomography to improve resolution, contrast, and speed in neuronal imaging.

This study uses synchrotron-based imaging to visualize and quantify the arterial microvasculature of the human hippocampus at high resolution.

The paper demonstrates that formaldehyde vapor fixation preserves porcine lung tissue for high-resolution phase contrast CT imaging and histology, validating its use for studying lung pathology.

This paper develops a multimodal approach combining X-ray computed tomography and light-sheet fluorescence microscopy to visualize gene expression in 3D tissue context, applicable to in vitro models and model organisms.

This paper provides a protocol for 3D imaging of unstained human brain tissue using synchrotron radiation phase-contrast microtomography, enabling detailed anatomical analysis at the cellular level.

This paper introduces engineering solutions to enable non-destructive X-ray tomography of brain tissue at ultrastructural resolution, validated against electron microscopy.

The paper introduces GECT, a method combining in situ hybridization with microCT to detect gene expression in developing mouse tissues, showing compatibility with existing imaging techniques.

This paper introduces X-ray phase contrast imaging for high-resolution, high-contrast analysis of human fetal tissues, demonstrating its potential for studying development and malformations.

The paper demonstrates the use of a femtosecond laser to prepare resin-embedded samples for correlative microscopy workflows, enabling precise targeting and trimming for high-resolution imaging techniques.

This paper develops a semi-supervised deep learning pipeline for automated 3D segmentation of cryo-SXT tomograms, validated on mammalian cell ultrastructure and filopodia morphology.

This paper introduces a micro-CT detector with 0.5 µm pixel size and 6 mm field-of-view, achieving 1.182 µm spatial resolution for 3D imaging of micron-scale structures in biological and non-biological samples.

This paper introduces an X-ray phase-contrast tomography method to map myelin in whole rodent brains without staining, showing it can detect and quantify white-matter injuries in disease models.

This paper introduces a method using X-ray phase-contrast tomography to analyze 3D morphology of amyloid-β plaques in Alzheimer's disease mouse models and identifies differences in plaque characteristics across strains.

The paper introduces an open-source FPM app for intuitive and efficient Fourier ptychographic microscopy reconstruction.

The paper presents a method for high-resolution reconstruction of whole mouse brain vasculature using synchrotron-based tomography and analyzes its structural properties.

This paper introduces a scalable method for micro-CT analysis to quantitatively characterize brain lesions and implants while preserving the skull.

The paper introduces a simple lead(II) acetate staining method for microCT-based 3D histology that enhances nuclear contrast without requiring traditional staining or drying.

This paper introduces X-ray holographic nano-tomography for imaging dense neuronal structures in Drosophila and mammals, using convolutional neural networks for automated segmentation.

The paper introduces an X-ray-based method for 3D gene expression analysis in whole-mount murine brains, demonstrating Tsen54 gene expression patterns in key brain regions relevant to motor and memory functions.

The paper optimizes Lugol staining for ex vivo visualization of soft tissues in a rat peripheral nerve regeneration model, showing improved staining quality and 3D imaging capabilities.