ArticleScientific reports2025
Multiparametric quantification of bacterial cells using digital holographic microscopy.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Label-free detection of ovarian cancer cells in ascites-related cell models using digital holographic flow cytometry.Biomedical optics express · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The detection and quantification of the physical properties of bacterial cells are crucial for advancing precision microbiology. Here, we use digital holographic microscopy (DHM) to measure the dry mass of individual Staphylococcus epidermidis (S. epidermidis) and Escherichia coli (E. coli) cells with high throughput and rapid acquisition. We demonstrate that by processing quantitative phase images with polynomial background correction, Gaussian filtering, and adaptive masking, we are able to obtain, not only the dry mass of individual bacterial cells, but also detailed morphological information. These features allow the discrimination between single and clustered cocci, as well as the identification of elongation patterns in bacilli, that may provide relevant indicators of bacterial growth and physiological state. Finally, we compare the DHM dry mass distribution with those obtained by nanomechanical mass spectrometry (NMS), highlighting the potential and limitations of each technique.
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.