ArticleScientific reports2022
Label-free imaging flow cytometry for analysis and sorting of enzymatically dissociated tissues.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 27 citations in OpenAlex.
- Single-Cell Protein Assays in Context: From 2D to 3D and In Situ Analysis.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026Review
- Hyper-dimensional computing for enhanced label-free particle analysis in a flow-based optical detection system.Scientific reports · 2026Article
- Advances in machine learning-enhanced microfluidic cell sorting.Science advances · 2025Review
- Translation of the Morphological Hallmarks of Dyserythropoiesis to Objective Morphometric Parameters by Imaging Flow Cytometry.International journal of laboratory hematology · 2025Article
- Cell-based regenerative therapy for retinal diseases: challenges and emerging bioengineering strategies.Regenerative therapy · 2025Review
- Optical sorting: past, present and future.Light, science & applications · 2025Review
- Review
- Sorting differentiated mammalian cells using deterministic lateral displacement microfluidic devices.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024Article
- Information-Distilled Generative Label-Free Morphological Profiling Encodes Cellular Heterogeneity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Label-free enrichment of human pluripotent stem cell-derived early retinal progenitor cells for cell-based regenerative therapies.Stem cell reports · 2024Article
- Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies.Nature biomedical engineering · 2023Article
- COSMOS: a platform for real-time morphology-based, label-free cell sorting using deep learning.Communications biology · 2023Article
- A low-cost, label-free microfluidic scanning flow cytometer for high-accuracy quantification of size and refractive index of particles.Lab on a chip · 2023Article
- Image-based cell sorting using focused travelling surface acoustic waves.Lab on a chip · 2023Article
- Opportunities in optical and electrical single-cell technologies to study microbial ecosystems.Frontiers in microbiology · 2023Review
- A treatment within sight: challenges in the development of stem cell-derived photoreceptor therapies for retinal degenerative diseases.Frontiers in transplantation · 2023Review
- Microfluidics for Neuronal Cell and Circuit Engineering.Chemical reviews · 2022Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Biomedical research relies on identification and isolation of specific cell types using molecular biomarkers and sorting methods such as fluorescence or magnetic activated cell sorting. Labelling processes potentially alter the cells' properties and should be avoided, especially when purifying cells for clinical applications. A promising alternative is the label-free identification of cells based on physical properties. Sorting real-time deformability cytometry (soRT-DC) is a microfluidic technique for label-free analysis and sorting of single cells. In soRT-FDC, bright-field images of cells are analyzed by a deep neural net (DNN) to obtain a sorting decision, but sorting was so far only demonstrated for blood cells which show clear morphological differences and are naturally in suspension. Most cells, however, grow in tissues, requiring dissociation before cell sorting which is associated with challenges including changes in morphology, or presence of aggregates. Here, we introduce methods to improve robustness of analysis and sorting of single cells from nervous tissue and provide DNNs which can distinguish visually similar cells. We employ the DNN for image-based sorting to enrich photoreceptor cells from dissociated retina for transplantation into the mouse eye.
Indexed as
Identifiers
What Socratic 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 Socratic graph.