ArticleBiomedical optics express2021
Label-free automated neutropenia detection and grading using deep-ultraviolet microscopy.
Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Label-free deep UV microscopy in oral cytology: a step towards stain-free diagnostics.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
- Ultrabroadband Optical Diffraction Tomography.ACS photonics · 2024Article
- Compact and low-cost deep-ultraviolet microscope system for label-free molecular imaging and point-of-care hematological analysis.Biomedical optics express · 2023Article
- Label-free hematology analysis method based on defocusing phase-contrast imaging under illumination of 415 nm light.Biomedical optics express · 2022Article
- Virtual Staining, Segmentation, and Classification of Blood Smears for Label-Free Hematology Analysis.BME frontiers · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neutropenia is a condition identified by an abnormally low number of neutrophils in the bloodstream and signifies an increased risk of severe infection. Cancer patients are particularly susceptible to this condition, which can be disruptive to their treatment and even life-threatening in severe cases. Thus, it is critical to routinely monitor neutrophil counts in cancer patients. However, the standard of care to assess neutropenia, the complete blood count (CBC), requires expensive and complex equipment, as well as cumbersome procedures, which precludes easy or timely access to critical hematological information, namely neutrophil counts. Here we present a simple, low-cost, fast, and robust technique to detect and grade neutropenia based on label-free multi-spectral deep-UV microscopy. Results show that the developed framework for automated segmentation and classification of live, unstained blood cells in a smear accurately differentiates patients with moderate and severe neutropenia from healthy samples in minutes. This work has significant implications towards the development of a low-cost and easy-to-use point-of-care device for tracking neutrophil counts, which can not only improve the quality of life and treatment-outcomes of many patients but can also be lifesaving.
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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.