ArticlePloS one2018
Disorder strength measured by quantitative phase imaging as intrinsic cancer marker in fixed tissue biopsies.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Revealing 3D microanatomical structures of unlabeled thick cancer tissues using holotomography and virtual H&E staining.Nature communications · 2025Article
- Convolutional neural network-based regression analysis to predict subnuclear chromatin organization from two-dimensional optical scattering signals.Journal of biomedical optics · 2024Article
- Quantitative phase imaging techniques for measuring scattering properties of cells and tissues: a review-part II.Journal of biomedical optics · 2024Review
- Quantitative phase imaging techniques for measuring scattering properties of cells and tissues: a review-part I.Journal of biomedical optics · 2024Review
- Perspective on quantitative phase imaging to improve precision cancer medicine.Journal of biomedical optics · 2024Article
- Automatic diagnosis and classification of breast surgical samples with dynamic full-field OCT and machine learning.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Multiscale optical phase fluctuations link disorder strength and fractal dimension of cell structure.Biophysical journal · 2023Article
- Quantification of structural heterogeneity in H&E stained clear cell renal cell carcinoma using refractive index tomography.Biomedical optics express · 2023Article
- White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS).Scientific reports · 2022Article
- Automatic Colorectal Cancer Screening Using Deep Learning in Spatial Light Interference Microscopy Data.Cells · 2022Article
- Synthetic aperture interference light (SAIL) microscopy for high-throughput label-free imaging.Applied physics letters · 2021Article
- Monitoring reactivation of latent HIV by label-free gradient light interference microscopy.iScience · 2021Article
- Label-free screening of brain tissue myelin content using phase imaging with computational specificity (PICS).APL photonics · 2021Article
- Computational interference microscopy enabled by deep learning.APL photonics · 2021Article
- Cell viscoelasticity is linked to fluctuations in cell biomass distributions.Scientific reports · 2020Article
- Label-free colorectal cancer screening using deep learning and spatial light interference microscopy (SLIM).APL photonics · 2020Article
- Quantitative phase imaging of stromal prognostic markers in pancreatic ductal adenocarcinoma.Biomedical optics express · 2020Article
- Quantifying myelin content in brain tissue using color Spatial Light Interference Microscopy (cSLIM).PloS one · 2020Article
- Wolf phase tomography (WPT) of transparent structures using partially coherent illumination.Light, science & applications · 2020Article
- Epi-illumination gradient light interference microscopy for imaging opaque structures.Nature communications · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tissue refractive index provides important information about morphology at the nanoscale. Since the malignant transformation involves both intra- and inter-cellular changes in the refractive index map, the tissue disorder measurement can be used to extract important diagnosis information. Quantitative phase imaging (QPI) provides a practical means of extracting this information as it maps the optical path-length difference (OPD) across a tissue sample with sub-wavelength sensitivity. In this work, we employ QPI to compare the tissue disorder strength between benign and malignant breast tissue histology samples. Our results show that disease progression is marked by a significant increase in the disorder strength. Since our imaging system can be added as an upgrading module to an existing microscope, we anticipate that it can be integrated easily in the pathology work flow.
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.