ArticleProceedings of the National Academy of Sciences of the United States of America2020
Label-free hematology analysis using deep-ultraviolet microscopy.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 74 citations in OpenAlex.
- Quantitative comparison of different mounting media for transmissive DUV imaging of label-free biological specimens.Biomedical optics express · 2026Article
- Fluorescence localization and tracking imaging with a spectral-splitting perovskite single-pixel detector.Nature communications · 2026Article
- Article
- 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
- Unstained Blood Smear Analysis: A Review of Rule-Based, Machine Learning, and Deep Learning Techniques.Journal of biophotonics · 2025Review
- 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
- Deep-Ultraviolet AlN Metalens with Imaging and Ultrafast Laser Microfabrication Applications.Nano letters · 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-ultraviolet Fourier ptychography (DUV-FP) for label-free biochemical imaging via feature-domain optimization.APL photonics · 2024Article
- Optimizing Excitation Light for Accurate Rapid Bacterial Species Identification with Autofluorescence.Journal of fluorescence · 2024Article
- Deep learning-assisted smartphone-based quantitative microscopy for label-free peripheral blood smear analysis.Biomedical optics express · 2024Article
- Shedding light on ultrasound in action: Optical and optoacoustic monitoring of ultrasound brain interventions.Advanced drug delivery reviews · 2024Review
- Deep learning-based label-free hematology analysis framework using optical diffraction tomography.Heliyon · 2023Article
- Diversity of cells and signals in the cardiovascular system.The Journal of physiology · 2023Article
- Label-free superior contrast with c-band ultra-violet extinction microscopy.Light, science & applications · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hematological analysis, via a complete blood count (CBC) and microscopy, is critical for screening, diagnosing, and monitoring blood conditions and diseases but requires complex equipment, multiple chemical reagents, laborious system calibration and procedures, and highly trained personnel for operation. Here we introduce a hematological assay based on label-free molecular imaging with deep-ultraviolet microscopy that can provide fast quantitative information of key hematological parameters to facilitate and improve hematological analysis. We demonstrate that this label-free approach yields 1) a quantitative five-part white blood cell differential, 2) quantitative red blood cell and hemoglobin characterization, 3) clear identification of platelets, and 4) detailed subcellular morphology. Analysis of tens of thousands of live cells is achieved in minutes without any sample preparation. Finally, we introduce a pseudocolorization scheme that accurately recapitulates the appearance of cells under conventional staining protocols for microscopic analysis of blood smears and bone marrow aspirates. Diagnostic efficacy is evaluated by a panel of hematologists performing a blind analysis of blood smears from healthy donors and thrombocytopenic and sickle cell disease patients. This work has significant implications toward simplifying and improving CBC and blood smear analysis, which is currently performed manually via bright-field microscopy, and toward the development of a low-cost, easy-to-use, and fast hematological analyzer as a point-of-care device and for low-resource settings.
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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.