ArticleScientific reports2015
Imaging Cells in Flow Cytometer Using Spatial-Temporal Transformation.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 68 citations in OpenAlex.
- Multi-cell, non-invasive, online monitoring of PLA-coated magnetic nanoparticles uptake by MCF-7 cells using digital holographic microscopy.Bioactive materials · 2026Article
- An Integrated Micromirror System for High-Throughput Multi-Parametric Cell Imaging.Small methods · 2026Article
- Spatial Encoding with Amplitude Modulation in Serial Flow Cytometry.Sensors (Basel, Switzerland) · 2026Article
- Single-pixel imaging flow cytometry for biomedical research.Inflammation and regeneration · 2025Review
- Three-dimensional forward-scattering imaging flow cytometry system for single-cell analysis.APL photonics · 2025Article
- Imaging Flow Cytometry as a Molecular Biology Tool: From Cell Morphology to Molecular Mechanisms.International journal of molecular sciences · 2025Review
- Highly Efficient Calibration-Free Color Compensation Algorithm for Imaging Flow Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2025Article
- Imaging flow cytometry with a real-time throughput beyond 1,000,000 events per second.Light, science & applications · 2025Article
- Neuromorphic-enabled video-activated cell sorting.Nature communications · 2024Article
- Review
- Interpretable unsupervised learning enables accurate clustering with high-throughput imaging flow cytometry.Scientific reports · 2023Article
- Dual-view transport of intensity phase imaging flow cytometry.Biomedical optics express · 2023Article
- Machine learning implementation strategy in imaging and impedance flow cytometry.Biomicrofluidics · 2023Review
- Optical Detection of Cancer Cells Using Lab-on-a-Chip.Biosensors · 2023Review
- High-Throughput Parallel Optofluidic 3D-Imaging Flow Cytometry.Small science · 2022Article
- Multimodal NASH prognosis using 3D imaging flow cytometry and artificial intelligence to characterize liver cells.Scientific reports · 2022Article
- Developments of Conventional and Microfluidic Flow Cytometry Enabling High-Throughput Characterization of Single Cells.Biosensors · 2022Review
- Dynamic Tomographic Phase Microscopy by Double Six-Pack Holography.ACS photonics · 2022Article
- In silico-labeled ghost cytometry.eLife · 2021Article
- A practical guide to intelligent image-activated cell sorting.Nature protocols · 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
2 authors at 1 institution in 1 country.
Funding
Abstract
Flow cytometers measure fluorescence and light scattering and analyze multiple physical characteristics of a large population of single cells as cells flow in a fluid stream through an excitation light beam. Although flow cytometers have massive statistical power due to their single cell resolution and high throughput, they produce no information about cell morphology or spatial resolution offered by microscopy, which is a much wanted feature missing in almost all flow cytometers. In this paper, we invent a method of spatial-temporal transformation to provide flow cytometers with cell imaging capabilities. The method uses mathematical algorithms and a spatial filter as the only hardware needed to give flow cytometers imaging capabilities. Instead of CCDs or any megapixel cameras found in any imaging systems, we obtain high quality image of fast moving cells in a flow cytometer using PMT detectors, thus obtaining high throughput in manners fully compatible with existing cytometers. To prove the concept, we demonstrate cell imaging for cells travelling at a velocity of 0.2 m/s in a microfluidic channel, corresponding to a throughput of approximately 1,000 cells per second.
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.