ReviewFrontiers in bioengineering and biotechnology2019
Cell Cytometry: Review and Perspective on Biotechnological Advances.
Review in Frontiers in bioengineering and biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 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
60 citing papers in PubMed, 160 citations in OpenAlex.
- Validation of an automated total and viable cell counting for GMP-compliant production of human bone marrow stromal cells.Biotechnology reports (Amsterdam, Netherlands) · 2026Article
- Enhanced precision in cell culture analytics: leveraging artificial intelligence for unbiased and non-destructive assessment of cell growth and viability.Cell death discovery · 2026Article
- The evolution of the complete blood count: have we gone too far?Haematologica · 2026Review
- In situ detection of dead cells from live cells via a DC plus low frequency AC resistive pulse sensor.Biomedical microdevices · 2026Article
- Detection of RBC-bound antibodies using flow cytometry and their correlation with HLA polymorphism.Frontiers in immunology · 2026Article
- AI-Assisted Impedance Biosensing of Yeast Cell Concentration.Biosensors · 2025Article
- Noninvasive monitoring and prediction of cell count of Saccharomyces suspensions using ultrasonic measurements and artificial neural networks.Analytical and bioanalytical chemistry · 2025Article
- Writing the Engram: Epigenetic Mechanisms of Memory Allocation.Journal of neurochemistry · 2025Review
- Automated smartphone based cell analysis platform.Npj imaging · 2025Article
- Indications of platelet indices in coronary artery disease (CAD): more insights into their diagnostic and prognostic importance.Journal of thrombosis and thrombolysis · 2025Review
- Article
- IDCC-SAM: A Zero-Shot Approach for Cell Counting in Immunocytochemistry Dataset Using the Segment Anything Model.Bioengineering (Basel, Switzerland) · 2025Article
- An Overview of the Current State of Cell Viability Assessment Methods Using OECD Classification.International journal of molecular sciences · 2024Review
- Pump-Free Microfluidics for Cell Concentration Analysis on Smartphones in Clinical Settings (SmartFlow): Design, Development, and Evaluation.JMIR biomedical engineering · 2024Article
- Low-cost automated cell counting module fabricated using CNC milling and soft lithography.HardwareX · 2024Article
- Evaluation ofDiagnostics (Basel, Switzerland) · 2024Article
- Non-Invasive Characterization of DifferentSensors (Basel, Switzerland) · 2024Article
- CITEViz: interactively classify cell populations in CITE-Seq via a flow cytometry-like gating workflow using R-Shiny.BMC bioinformatics · 2024Article
- Identification, sorting and profiling of functional killer cells via the capture of fluorescent target-cell lysate.Nature biomedical engineering · 2024Article
- Projection Micro-Stereolithography to Manufacture a Biocompatible Micro-Optofluidic Device for Cell Concentration Monitoring.Polymers · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell identification and enumeration are essential procedures within clinical and research laboratories. For over 150 years, quantitative investigation of body fluids such as counts of various blood cells has been an important tool for diagnostic analysis. With the current evolution of point-of-care diagnostics and precision medicine, cheap and precise cell counting technologies are in demand. This article reviews the timeline and recent notable advancements in cell counting that have occurred as a result of improvements in sensing including optical and electrical technology, enhancements in image processing capabilities, and contributions of micro and nanotechnologies. Cell enumeration methods have evolved from the use of manual counting using a hemocytometer to automated cell counters capable of providing reliable counts with high precision and throughput. These developments have been enabled by the use of precision engineering, micro and nanotechnology approaches, automation and multivariate data analysis. Commercially available automated cell counters can be broadly classified into three categories based on the principle of detection namely, electrical impedance, optical analysis and image analysis. These technologies have many common scientific uses, such as hematological analysis, urine analysis and bacterial enumeration. In addition to commercially available technologies, future technological trends using lab-on-a-chip devices have been discussed in detail. Lab-on-a-chip platforms utilize the existing three detection technologies with innovative design changes utilizing advanced nano/microfabrication to produce customized devices suited to specific applications.
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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.