ArticleBiomedical optics express2023
Compact and low-cost deep-ultraviolet microscope system for label-free molecular imaging and point-of-care hematological analysis.
Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
13 citing papers in PubMed, 22 citations in OpenAlex.
- High Numerical Aperture Metalens for the Deep Ultraviolet.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Quantitative comparison of different mounting media for transmissive DUV imaging of label-free biological specimens.Biomedical optics express · 2026Article
- Recent Developments in Deep-Ultraviolet Flat Optics.Nanophotonics (Berlin, Germany) · 2026Review
- Nondestructive, High-Resolution T Cell Characterization and Subtyping via Deep-UV Microscopy.BME frontiers · 2026Article
- Polarization resolved deep ultraviolet microscopy for label free imaging with enhanced nuclei and fiber contrast.Optics and lasers in engineering · 2026Article
- Article
- Label-free deep UV microscopy in oral cytology: a step towards stain-free diagnostics.Biomedical optics express · 2025Article
- Label-free surface sectioning deep ultraviolet tissue imaging in multimodalities.Biomedical optics express · 2025Article
- Rapid, Point-of-Care Bone Marrow Aspirate Adequacy Assessment Via Deep Ultraviolet Microscopy.Laboratory investigation; a journal of technical methods and pathology · 2025Article
- Review
- Stain-free artificial intelligence-assisted light microscopy for the identification of leukocyte morphology change in presence of bacteria.Frontiers in bioinformatics · 2025Article
- Quantifying UV-induced photodamage for longitudinal live-cell imaging applications of deep-UV microscopy.Biomedical optics express · 2025Article
- Deep learning-assisted smartphone-based quantitative microscopy for label-free peripheral blood smear analysis.Biomedical optics express · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Deep-ultraviolet (UV) microscopy enables label-free, high-resolution, quantitative molecular imaging and enables unique applications in biomedicine, including the potential for fast hematological analysis at the point-of-care. UV microscopy has been shown to quantify hemoglobin content and white blood cells (five-part differential), providing a simple alternative to the current gold standard, the hematological analyzer. Previously, however, the UV system comprised a bulky broadband laser-driven plasma light source along with a large and expensive camera and 3D translation stage. Here, we present a modified deep-UV microscope system with a compact footprint and low-cost components. We detail the novel design with simple, inexpensive optics and hardware to enable fast and accurate automated imaging. We characterize the system, including a modified low-cost web-camera and custom automated 3D translation stage, and demonstrate its ability to scan and capture large area images. We further demonstrate the capability of the system by imaging and analyzing blood smears, using previously trained networks for automatic segmentation, classification (including 5-part white blood cell differential), and colorization. The developed system is approximately 10 times less expensive than previous configurations and can serve as a point-of-care hematology analyzer, as well as be applied broadly in biomedicine as a simple compact, low-cost, quantitative molecular imaging system.
Identifiers
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.