ReviewJournal of clinical monitoring and computing2010
Flow cytometry and laser scanning cytometry, a comparison of techniques.
Review in Journal of clinical monitoring and computing, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- The effects of incubation media on the assessment of the shape of human erythrocytes by flow cytometry: a contribution to mathematical data interpretation to enable wider application of the method.European biophysics journal : EBJ · 2021Article
- The Effects of Different Fluorescent Indicators in Observing the Changes of the Mitochondrial Membrane Potential during Oxidative Stress-Induced Mitochondrial Injury of Cardiac H9c2 Cells.Journal of fluorescence · 2020Article
- Prognostic significance of S-phase fractions in peritumoral invading zone analyzed by laser scanning cytometry in patients with high-grade glioma: A preliminary study.Oncology letters · 2016Article
- Engineering and exploitation of a fluorescent HIV-1 gp120 for live cell CD4 binding assays.Virology · 2015Article
- Temporally and spatially restricted gene expression profiling.Current genomics · 2014Article
- Rise of the micromachines: microfluidics and the future of cytometry.Methods in cell biology · 2011Article
- Use of Flow Cytometry in Clinical Practice.Journal of the advanced practitioner in oncologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveFlow and laser scanning cytometry are used extensively in research and clinical settings. These techniques provide clinicians and scientists information about cell functioning in a variety of health and disease states. An in-depth knowledge and understanding of cytometry techniques can enhance interpretation of current research findings. Our goal with this review is to reacquaint clinicians and scientists with information concerning differences between flow and laser scanning cytometry by comparing their capabilities and applications.
methodsA Pubmed abstract search was conducted for articles on research, reviews and current texts relating to origins and use of flow and laser scanning cytometry. Attention was given to studies describing application of these techniques in the clinical setting.
resultsBoth techniques exploit interactions between the physical properties of light. Data are immediately and automatically acquired; they are distinctly different. Flow cytometry provides valuable rapid information about a wide variety of cellular or particle characteristics. This technique does not provide the scanned high resolution image analysis needed for investigators to localize areas of interest within the cell for quantification. Flow cytometry requires that the sample contain a large amount disaggregated, single, suspended cells. Laser scanning cytometry is slide-based and does not require as large of a sample. The tissue sample is affixed to a slide allowing repeated sample analyses. These cytometry techniques are used in the clinical setting to understand pathophysiological derangements associated with many diseases; cardiovascular disease, diabetes, acute lung injury, hemorrhagic shock, surgery, cancer and Alzheimer's disease.
conclusionsUnderstanding the differences between FCM and LSCM can assist investigators in planning and design of their research or clinical testing. Researchers and clinicians optimize these technique capabilities with the cellular characteristics they wish to measure delineating molecular and cellular events occurring in health and disease. Discovery of mechanisms in cells using FCM and LSCM provide evidence needed to guide future treatment and interventions.
Indexed as
Identifiers
20623376What 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.