ArticleBiomedical optics express2015
Label-free characterization of white blood cells by measuring 3D refractive index maps.
Article in Biomedical optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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
43 citing papers in PubMed, 157 citations in OpenAlex.
- Detection of intracellular monosodium urate crystals in gout synovial fluid using optical diffraction tomography.Scientific reports · 2021Trial
- Optical diffraction tomographic microscopy: a cutting-edge label-free three-dimensional bioimaging.Biophysics reports · 2026Article
- Quantitative phase imaging by gradient retardance optical microscopy.Scientific reports · 2024Article
- Imaging the intracellular refractive index distribution (IRID) for dynamic label-free living colon cancer cells via circularly depolarization decay model (CDDM).Biomedical optics express · 2024Article
- Deep learning-assisted smartphone-based quantitative microscopy for label-free peripheral blood smear analysis.Biomedical optics express · 2024Article
- Non-steady state thermometry with optical diffraction tomography.Science advances · 2024Article
- Compact and low-cost deep-ultraviolet microscope system for label-free molecular imaging and point-of-care hematological analysis.Biomedical optics express · 2023Article
- Stain-free identification of cell nuclei using tomographic phase microscopy in flow cytometry.Nature photonics · 2022Article
- Article
- A label-free optical system with a nanohole array biosensor for discriminating live single cancer cells from normal cells.Nanophotonics (Berlin, Germany) · 2022Article
- Label-free automated neutropenia detection and grading using deep-ultraviolet microscopy.Biomedical optics express · 2021Article
- Limited-angle tomographic phase microscopy utilizing confocal scanning fluorescence microscopy.Biomedical optics express · 2021Article
- Multi-pulse laser-induced bubble formation and nanoparticle aggregation using MoSScientific reports · 2020Article
- Label-free hematology analysis using deep-ultraviolet microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Micromirror-Embedded Coverslip Assembly for Bidirectional Microscopic Imaging.Micromachines · 2020Article
- Real-time cholesterol sorting in Plasmodium falciparum-erythrocytes as revealed by 3D label-free imaging.Scientific reports · 2020Article
- Label-free characterization of white blood cells using fluorescence lifetime imaging and flow-cytometry: molecular heterogeneity and erythrophagocytosis [Invited].Biomedical optics express · 2019Article
- Quantitative phase imaging in common-path cross-referenced holographic microscopy using double-exposure method.Scientific reports · 2019Article
- Ocular anterior chamber blood cell population differentiation using spectroscopic optical coherence tomography.Biomedical optics express · 2019Article
- Label-free classification of neurons and glia in neural stem cell cultures using a hyperspectral imaging microscopy combined with machine learning.Scientific reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The characterization of white blood cells (WBCs) is crucial for blood analyses and disease diagnoses. However, current standard techniques rely on cell labeling, a process which imposes significant limitations. Here we present three-dimensional (3D) optical measurements and the label-free characterization of mouse WBCs using optical diffraction tomography. 3D refractive index (RI) tomograms of individual WBCs are constructed from multiple two-dimensional quantitative phase images of samples illuminated at various angles of incidence. Measurements of the 3D RI tomogram of WBCs enable the separation of heterogeneous populations of WBCs using quantitative morphological and biochemical information. Time-lapse tomographic measurements also provide the 3D trajectory of micrometer-sized beads ingested by WBCs. These results demonstrate that optical diffraction tomography can be a useful and versatile tool for the study of WBCs.
Indexed as
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.