ReviewExpert opinion on drug discovery2015
High-throughput fluorescence imaging approaches for drug discovery using in vitro and in vivo three-dimensional models.
Review in Expert opinion on drug discovery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 63 citations in OpenAlex.
- Intrinsically co-registered extended-depth-of-focus OCM and two-photon microscopy for label-free volumetric analysis of 3D cell models.Biomedical optics express · 2026Article
- High-Throughput Microfluidic Technologies for Rapidly Screening Pollutant-Induced Cell Health Effects.ACS bio & med chem Au · 2025Article
- DNA-programmed cell assembly: from cells, tissues to organoids.Frontiers in bioengineering and biotechnology · 2025Review
- A Review on Patient-derived 3D Micro Cancer Approach for Drug Screen in Personalized Cancer Medicine.Current cancer drug targets · 2025Review
- Challenges in Implementing Comprehensive Precision Medicine Screening for Ovarian Cancer.Current oncology (Toronto, Ont.) · 2024Review
- PyrAtes: Modular Organic Salts with Large Stokes Shifts for Fluo-rescence Microscopy.Angewandte Chemie (International ed. in English) · 2024Article
- Scaffold-based 3D cell culture models in cancer research.Journal of biomedical science · 2024Review
- Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries.BME frontiers · 2023Article
- Fluorescent toys 'n' tools lighting the way in fungal research.FEMS microbiology reviews · 2021Article
- Characterization and quantification of necrotic tissues and morphology in multicellular ovarian cancer tumor spheroids using optical coherence tomography.Biomedical optics express · 2021Article
- Targeted esterase-induced dye (TED) loading supports direct calcium imaging in eukaryotic cell-free systems.RSC advances · 2021Article
- Automated and semi-automated enhancement, segmentation and tracing of cytoskeletal networks in microscopic images: A review.Computational and structural biotechnology journal · 2021Review
- Monitoring Cancer Cell Invasion and T-Cell Cytotoxicity in 3D Culture.Journal of visualized experiments : JoVE · 2020Article
- Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019Article
- Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography.Journal of visualized experiments : JoVE · 2019Article
- Development of a Novel 3D Tumor-tissue Invasion Model for High-throughput, High-content Phenotypic Drug Screening.Scientific reports · 2018Article
- Quantitative high-throughput phenotypic screening of pediatric cancer cell lines identifies multiple opportunities for drug repurposing.Oncotarget · 2018Article
- Optical Coherence Tomography Detects Necrotic Regions and Volumetrically Quantifies Multicellular Tumor Spheroids.Cancer research · 2017Article
- Small-Molecule Screens: A Gateway to Cancer Therapeutic Agents with Case Studies of Food and Drug Administration-Approved Drugs.Pharmacological reviews · 2017Review
- High-Content Monitoring of Drug Effects in a 3D Spheroid Model.Frontiers in oncology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
introductionHigh-resolution microscopy using fluorescent probes is a powerful tool to investigate individual cell structure and function, cell subpopulations and mechanisms underlying cellular responses to drugs. Additionally, responses to drugs more closely resemble those seen in vivo when cells are physically connected in three-dimensional (3D) systems (either 3D cell cultures or whole organisms), as opposed to traditional monolayer cultures. Combined, the use of imaging-based 3D models in the early stages of drug development has the potential to generate biologically relevant data that will increase the likelihood of success for drug candidates in human studies. AREAS COVERED: The authors discuss current methods for the culturing of cells in 3D as well as approaches for the imaging of whole-animal models and 3D cultures that are amenable to high-throughput settings and could be implemented to support drug discovery campaigns. Furthermore, they provide critical considerations when discussing imaging these 3D systems for high-throughput chemical screenings. EXPERT OPINION: Despite widespread understanding of the limitations imposed by the two-dimensional versus the 3D cellular paradigm, imaging-based drug screening of 3D cellular models is still limited, with only a few screens found in the literature. Image acquisition in high throughput, accurate interpretation of fluorescent signal, and uptake of staining reagents can be challenging, as the samples are in essence large aggregates of cells. The authors recognize these shortcomings that need to be overcome before the field can accelerate the utilization of these technologies in large-scale chemical screens.
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.