ArticleMicrobiologyOpen2020
Development of a standardized Gram stain procedure for bacteria and inflammatory cells using an automated staining instrument.
Article in MicrobiologyOpen, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 24 citations in OpenAlex.
- Performance of the Techcyte AI-based image analysis system for coproparasitological diagnosis in clinical stool specimens: a retrospective evaluation study.Journal of clinical microbiology · 2026Article
- Capsular Polysaccharides Are Crucial for the Biosorption of Aqueous Pb(II) Ions by Limosilactobacillus fermentum B44 In Vitro.Biological trace element research · 2025Article
- Three bacterial strains efficiently reduce selenite to selenium nanoparticles in cell membranes.BMC microbiology · 2025Article
- A Multidrug-ResistantVeterinary sciences · 2025Article
- Virtual Gram staining of label-free bacteria using dark-field microscopy and deep learning.Science advances · 2025Article
- Fc-MBL-modified FeMikrochimica acta · 2022Article
- A Novel Improved Gram Staining Method Based on the Capillary Tube.Polish journal of microbiology · 2020Article
- Gram Staining: a Comparison of Two Automated Systems and Manual Staining.Journal of clinical microbiology · 2020Article
- Development of a standardized Gram stain procedure for bacteria and inflammatory cells using an automated staining instrument.MicrobiologyOpen · 2020Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gram stain is a subjective and poorly controlled test, and the resultant errors often perplex laboratory scientists. To reduce errors and make Gram stain a precisely controllable and meritorious test, a standardized Gram stain procedure for bacteria and inflammatory cells was developed using an automated staining instrument in this study. Freshly expectorated sputum specimens, used as the optimized targets, were smeared on slides by laboratory technicians, defining each slide loaded with uniform matrix and monolayer cell. And then, the staining and decolorizing time, as well as the stain and decolorant volume, were optimized as 15, 105, 1, and 25 s and 1.1, 1.4, 0.3, and 0.7 ml, respectively. Culture-positive blood specimens and original purulent fluids were used for confirming the developed standardized Gram stain procedure. Distinct tinctures of bacteria and inflammatory cells adhered to slide uniformly in a monolayer were observed, and the obtained staining results of these samples were highly consistent with their cultured results. Furthermore, according to the staining results under different staining conditions, an updated molecular mechanism of Gram stain for bacteria and the probable staining mechanism for inflammatory cells were also proposed in this study.
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.