
Quantitative ultrasound (QUS) analysis can differentiate between gingival and alveolar mucosal tissues based on distinct Burr and Nakagami model parameters, suggesting QUS's potential as an objective and quantitative diagnostic tool for periodontal disease assessment.


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quantitative-ultrasound-analysis-of-periodontal-soft-tissues-differentiating-gingiva-and-alveolar-mucosa


Quantitative Ultrasound Analysis of Periodontal Soft Tissues: Differentiating Gingiva and Alveolar Mucosa


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Three-photon excited fluorescence microscopy enables high-contrast, high-resolution imaging of blood flow, neural structure, and inflammatory response in the mouse spinal cord up to 550 μm in depth, providing a powerful tool to study diverse cellular dynamics in the spinal cord in vivo.


Nonlinear optical microscopy enables non-invasive imaging in scattering samples with cellular resolution. The spinal cord connects the brain with the periphery and governs fundamental behaviors such as locomotion and somatosensation. Because of dense myelination on the dorsal surface, imaging to the spinal grey matter is challenging, even with two-photon microscopy. Here we show that three-photon excited fluorescence (3PEF) microscopy enables multicolor imaging at depths of up to ~550 μm into the mouse spinal cord, in vivo . We quantified blood flow across vessel types along the spinal vascular network. We then followed the response of neurites and microglia after occlusion of a surface venule, where we observed depth-dependent structural changes in neurites and interactions of perivascular microglia with vessel branches upstream from the clot. This work establishes that 3PEF imaging enables studies of functional dynamics and cell type interactions in the top 550 μm of the murine spinal cord, in vivo .

### Competing Interest Statement

The authors have declared no competing interest.

Three-photon excited fluorescence microscopy enables imaging of blood flow, neural structure and inflammatory response deep into mouse spinal cord in vivo

three-photon-excited-fluorescence-microscopy-enables-comprehensive-imaging-of-spinal-cord-vasculature-neural-structure-and-inflammatory-response-in-living-mice


Three-Photon Excited Fluorescence Microscopy Enables Comprehensive Imaging of Spinal Cord Vasculature, Neural Structure, and Inflammatory Response in Living Mice



A deep learning-based approach to accurately estimate the femur caput-collum-diaphyseal (CCD) angle from X-ray images, which is crucial for diagnosing and managing hip problems.


automated-femur-caput-collum-diaphyseal-angle-estimation-from-x-ray-images-using-deep-learning


Automated Femur Caput Collum Diaphyseal Angle Estimation from X-Ray Images using Deep Learning



The paper proposes a reconstructive source imaging procedure for diffusive ultrasound modulated bioluminescence tomography (UMBLT) in optically anisotropic media with partial data and uncertain optical parameters.


diffusive-ultrasound-modulated-bioluminescence-tomography-with-partial-data-and-uncertain-optical-parameters


Diffusive Ultrasound Modulated Bioluminescence Tomography with Partial Data and Uncertain Optical Parameters



nnMamba bietet eine robuste Lösung für die Modellierung von Langstreckenabhängigkeiten in der medizinischen Bildanalyse.


nnmamba-3d-biomedical-image-segmentation-classification-and-landmark-detection-with-state-space-model


nnMamba: 3D Biomedical Image Segmentation, Classification, and Landmark Detection with State Space Model



Deep learning GANs enhance biological image quality across microscopy systems.


cross-system-biological-image-quality-enhancement-with-gan


Cross-System Biological Image Quality Enhancement with GAN



Proposing BVDM for generating synthetic live cell microscopy videos to enhance deep learning methods in the biomedical domain.


annotated-biomedical-video-generation-using-denoising-diffusion-probabilistic-models-and-flow-fields


Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields



Deep learning models in image-based drug discovery may extract morphological features from single cells using Grad-CAM, but may include irrelevant pixels, leading to doubts about the fidelity of learned representations. Grad-CAMO is introduced to measure interpretability and guide model design.


understanding-grad-camo-for-single-cell-morphological-profiles-in-3d-cell-painting-images


Understanding Grad-CAMO for Single-Cell Morphological Profiles in 3D Cell Painting Images



Residual-based large language models (LLMs) can significantly enhance performance in biomedical imaging tasks, setting new benchmarks in 2D and 3D classification.


unlocking-the-power-of-language-models-in-biomedical-imaging-tasks


Unlocking the Power of Language Models in Biomedical Imaging Tasks



ULM imaging in awake mice reveals significant vascular changes from anesthesia to awake states, enabling longitudinal studies.


Super-resolution ultrasound localization microscopy (ULM) is an emerging imaging modality that resolves capillary-scale microvasculature in deep tissues. However, existing preclinical ULM applications are largely constrained to anesthetized animals, introducing confounding vascular effects such as vasodilation and altered hemodynamics. As such, ULM quantifications (e.g., vessel diameter, density, and flow velocity) may be confounded by the use of anesthesia, undermining the usefulness of ULM in practice. Here we introduce a method to address this limitation and achieve ULM imaging in awake mouse brain. Pupillary monitoring was used to confirm the awake state during ULM imaging. ULM revealed that veins showed a greater degree of vascularity reduction from anesthesia to awake states than did arteries. The reduction was most significant in the midbrain and least significant in the cortex. ULM also revealed a significant reduction in venous blood flow velocity across different brain regions under awake conditions. Serial in vivo imaging of the same animal brain at weekly intervals demonstrated the highly robust longitudinal imaging capability of the proposed technique. This is the first study demonstrating longitudinal ULM imaging in the awake mouse brain, which is essential for many ULM brain applications that require awake and behaving animals.

### Competing Interest Statement

The authors have declared no competing interest.

Longitudinal Awake Imaging of Deep Mouse Brain Microvasculature with Super-resolution Ultrasound Localization Microscopy

longitudinal-awake-imaging-of-deep-mouse-brain-microvasculature-with-super-resolution-ultrasound-localization-microscopy


Longitudinal Awake Imaging of Deep Mouse Brain Microvasculature with Super-resolution Ultrasound Localization Microscopy
