ArticleACS nano2020
Optimizing Quantum Dot Probe Size for Single-Receptor Imaging.
Article in ACS nano, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 27 citations in OpenAlex.
- Review
- Sub-15 nm Nanoparticles for Drug Delivery: Emerging Frontiers and Therapeutic Potential.International journal of molecular sciences · 2025Review
- Dynamic Polymer Cross-linking Limits the Homogeneity of Compact Quantum Dots for Single-Particle Tracking.ACS applied materials & interfaces · 2025Article
- Advancements in Single-Molecule Fluorescence Detection Techniques and Their Expansive Applications in Drug Discovery and Neuroscience.Biosensors · 2025Review
- New Strategy for Microbial Corrosion Protection: Photocatalytic Antimicrobial Quantum Dots.Nanomaterials (Basel, Switzerland) · 2024Review
- The utilization of quantum dot labeling as a burgeoning technique in the field of biological imaging.RSC advances · 2024Review
- Quantum Dot-Fab' Conjugates as Compact Immunolabels for Microtubule Imaging and Cell Classification.ACS nano · 2024Article
- Subunit-Dependent Surface Mobility and Localization of NMDA Receptors in Hippocampal Neurons Measured Using Nanobody Probes.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Semiconductor Quantum Dots as Target Analytes: Properties, Surface Chemistry and Detection.Nanomaterials (Basel, Switzerland) · 2022Review
- Structural Design of Multidentate Copolymers as Compact Quantum Dot Coatings for Live-Cell Single-Particle Imaging.Chemistry of materials : a publication of the American Chemical Society · 2022Article
- Antibody Self-Assembly Maximizes Cytoplasmic Immunostaining Accuracy of Compact Quantum Dots.Chemistry of materials : a publication of the American Chemical Society · 2021Article
- NIR-quantum dots in biomedical imaging and their future.iScience · 2021Review
- Bio-Conjugated Quantum Dots for Cancer Research: Detection and Imaging.Frontiers in oncology · 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
11 authors at 1 institution in 1 country.
Funding
Abstract
Quantum dots (QDs) are nanocrystals with bright fluorescence and long-term photostability, attributes particularly beneficial for single-molecule imaging and molecular counting in the life sciences. The size of a QD nanocrystal determines its physicochemical and photophysical properties, both of which dictate the success of imaging applications. Larger nanocrystals typically have better optical properties, with higher brightness, red-shifted emission, reduced blinking, and greater stability. However, larger nanocrystals introduce molecular-labeling biases due to steric hindrance and nonspecific binding. Here, we systematically analyze the impact of nanocrystal size on receptor labeling in live and fixed cells. We designed three (core)shell QDs with red emission (600-700 nm) and crystalline sizes of 3.2, 5.5, and 8.3 nm. After coating with the same multidentate polymer, hydrodynamic sizes were 9.2 nm (QD
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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.