ReviewTrends in biotechnology2021
Image-Based Live Cell Sorting.
Review in Trends in biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 58 citations in OpenAlex.
- Intelligent label-free droplet microfluidic sorting system for single-cell encapsulation and morphology-guided screening.Microsystems & nanoengineering · 2026Article
- Digital twins and digital models of the human circulatory system.Nature reviews bioengineering · 2026Article
- Combining deep learning and microfluidics for fast and noninvasive sorting of zebrafish embryo.Scientific reports · 2025Article
- Fluorescence Imaging-Activated Microfluidic Particle Sorting Using Optical Tweezers.Biosensors · 2025Article
- Optical sorting: past, present and future.Light, science & applications · 2025Review
- Deep Learning-Assisted Label-Free Parallel Cell Sorting with Digital Microfluidics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Vibrational imaging of metabolites for improved microbial cell strains.Journal of biomedical optics · 2024Review
- Integrating single-cell transcriptomics with cellular phenotypes: cell morphology, CaBiophysical reviews · 2024Review
- Mass Spectrometry-Based Proteogenomics: New Therapeutic Opportunities for Precision Medicine.Annual review of pharmacology and toxicology · 2024Review
- COSMOS: a platform for real-time morphology-based, label-free cell sorting using deep learning.Communications biology · 2023Article
- Automated microarray platform for single-cell sorting and collection of lymphocytes following HIV reactivation.Bioengineering & translational medicine · 2023Article
- Data-driven microscopy allows for automated context-specific acquisition of high-fidelity image data.Cell reports methods · 2023Article
- New Frontiers in Colorectal Cancer Treatment Combining Nanotechnology with Photo- and Radiotherapy.Cancers · 2023Review
- Deep learning with microfluidics for on-chip droplet generation, control, and analysis.Frontiers in bioengineering and biotechnology · 2023Review
- Droplet Detection and Sorting System in Microfluidics: A Review.Micromachines · 2022Review
- Article
- Upgraded User-Friendly Image-Activated Microfluidic Cell Sorter Using an Optimized and Fast Deep Learning Algorithm.Micromachines · 2022Article
- ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics.Micromachines · 2022Article
- Cancer nanotechnology: current status and perspectives.Nano convergence · 2021Review
- A technology of a different sort: microraft arrays.Lab on a chip · 2021Review
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 at 2 institutions in 1 country.
Funding
Abstract
Technologies capable of cell separation based on cell images provide powerful tools enabling cell selection criteria that rely on spatially or temporally varying properties. Image-based cell sorting (IBCS) systems utilize microfluidic or microarray platforms, each having unique characteristics and applications. The advent of IBCS marks a new paradigm in which cell phenotype and behavior can be explored with high resolution and tied to cellular physiological and omics data, providing a deeper understanding of single-cell physiology and the creation of cell lines with unique properties. Cell sorting guided by high-content image information has far-reaching implications in biomedical research, clinical medicine, and pharmaceutical development.
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.