ArticleBiomedical optics express2019
Narrowband-autofluorescence imaging for bone analysis.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- A blinded study using laser induced endogenous fluorescence spectroscopy to differentiate ex vivo spine tumor, healthy muscle, and healthy bone.Scientific reports · 2024Article
- Molecular Quantity Variations in Human-Mandibular-Bone Osteoid.Calcified tissue international · 2022Article
- Macrophages Characterization in an Injured Bone Tissue.Biomedicines · 2022Article
- In Situ Gene Expression in Native Cryofixed Bone Tissue.Biomedicines · 2022Article
- A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation.Frontiers in physiology · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a new autofluorescence-imaging method for bone analysis. This method, based on the autofluorescence of bone, provides color images in microscopic scale. The color images are created from three monochrome images acquired with optimal excitation- and emission-wavelengths combinations. The choice of these combinations were determined from the study of two-dimensional distributions of bone-features-bispectral autofluorescence in the visible- and ultraviolet-spectral range. We demonstrate that main-bone features visualized with MG-staining method can also be visualized in the autofluorescence-color image. Furthermore, the autofluorescence-color image presents features hardly distinguished in a histological-bone section.
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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.