ReviewMilitary Medical Research2024
Digital in-line holographic microscopy for label-free identification and tracking of biological cells.
Review in Military Medical Research, 2024. 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
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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.
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.
- Multi-cell, non-invasive, online monitoring of PLA-coated magnetic nanoparticles uptake by MCF-7 cells using digital holographic microscopy.Bioactive materials · 2026Article
- HoloBio: A holographic microscopy tool for quantitative biological analysis.PLoS computational biology · 2026Article
- Extended Field of View and Resolution Enhancement in Lensless Digital Holography.Sensors (Basel, Switzerland) · 2026Article
- Synergistic microscopic platform for probing molecular interaction on mitochondria-lysosome contact membrane.Biomedical optics express · 2026Article
- Exploring the 3D architecture of brain tissue using digital holographic microscopy.Biomedical optics express · 2026Article
- Plying potency assays for immunotherapy of solid tumors.Frontiers in immunology · 2026Review
- Dissecting Morphological and Functional Dynamics of Non-Tumorigenic and Triple-Negative Breast Cancer Cell Lines Using PCA and t-SNE Analysis.Cancer reports (Hoboken, N.J.) · 2025Article
- Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network.Nature communications · 2025Article
- Holographic Proteomics: A Review of Digital Holographic Microscopy Applications in Spatial Proteomics.Protein and peptide letters · 2025Review
- Morphological Parameters of 29994 sperm in a fertile male population-based on Papanicolaou staining and SSA-II Plus.Frontiers in endocrinology · 2025Article
- Holographic tomography of the diatom Skeletonema pseudocostatum used as a bioindicator of heavy metal-polluted waters.PloS one · 2025Article
- Effect of shear rate on earlyBiofilm · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Digital in-line holographic microscopy (DIHM) is a non-invasive, real-time, label-free technique that captures three-dimensional (3D) positional, orientational, and morphological information from digital holographic images of living biological cells. Unlike conventional microscopies, the DIHM technique enables precise measurements of dynamic behaviors exhibited by living cells within a 3D volume. This review outlines the fundamental principles and comprehensive digital image processing procedures employed in DIHM-based cell tracking methods. In addition, recent applications of DIHM technique for label-free identification and digital tracking of various motile biological cells, including human blood cells, spermatozoa, diseased cells, and unicellular microorganisms, are thoroughly examined. Leveraging artificial intelligence has significantly enhanced both the speed and accuracy of digital image processing for cell tracking and identification. The quantitative data on cell morphology and dynamics captured by DIHM can effectively elucidate the underlying mechanisms governing various microbial behaviors and contribute to the accumulation of diagnostic databases and the development of clinical treatments.
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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.