ArticleThe Analyst2021
High spatial-resolution imaging of label-free
Article in The Analyst, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- AI-Assisted Coherent Raman Scattering Microscopy for Clinical Translation.Chemical & biomedical imaging · 2026Review
- GFP-free live neuron quantitative imaging reveals compartmentalization and growth dynamics of polyQ aggregates.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- High-Throughput Volumetric Mapping Facilitated by Active Tissue SHRINK.Small methods · 2026Article
- Advances in Super-resolution Stimulated Raman Scattering Microscopy.Chemical & biomedical imaging · 2024Review
- Seeing is Believing: Developing Multimodal Metabolic Insights at the Molecular Level.ACS central science · 2024Review
- Review
- Label-free identification of protein aggregates using deep learning.Nature communications · 2023Article
- Toward the Next Frontiers of Vibrational Bioimaging.Chemical & biomedical imaging · 2023Review
- Bringing Vibrational Imaging to Chemical Biology with Molecular Probes.ACS chemical biology · 2022Article
- Super-Resolution Vibrational Imaging Using Expansion Stimulated Raman Scattering Microscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Label-Free Super-Resolution Imaging Techniques.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022Review
- Label-free Super-resolution Imaging Enabled by Vibrational Imaging of Swelled Tissue and Analysis.Journal of visualized experiments : JoVE · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Amyloid aggregation, formed by aberrant proteins, is a pathological hallmark for neurodegenerative diseases, including Alzheimer's disease and Huntington's disease. High-resolution holistic mapping of the fine structures from these aggregates should facilitate our understanding of their pathological roles. Here, we achieved label-free high-resolution imaging of the polyQ and the amyloid-beta (Aβ) aggregates in cells and tissues utilizing a sample-expansion stimulated Raman strategy. We further focused on characterizing the Aβ plaques in 5XFAD mouse brain tissues. 3D volumetric imaging enabled visualization of the whole plaques, resolving both the fine protein filaments and the surrounding components. Coupling our expanded label-free Raman imaging with machine learning, we obtained specific segmentation of aggregate cores, peripheral filaments together with cell nuclei and blood vessels by pre-trained convolutional neural network models. Combining with 2-channel fluorescence imaging, we achieved a 6-color holistic view of the same sample. This ability for precise and multiplex high-resolution imaging of the protein aggregates and their micro-environment without the requirement of labeling would open new biomedical applications.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.