Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 230

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Advantages and Limitations of Current Imaging Techniques for Characterizing Liposome Morphology

Open access
Robson, Annie-Louise, Dastoor, Paul C., Flynn, Jamie, Palmer, William, Martin, Antony, Smith, Doug W., Woldu, Ameha, Hua, Susan·2018·Frontiers in Pharmacology

Abstract

There are currently a number of imaging techniques available for evaluating the morphology of liposomes and other nanoparticles, with each having its own advantages and disadvantages that should be considered when interpreting data. Controlling and validating the morphology of nanoparticles is of key importance for the effective clinical translation of liposomal formulations. There are a number of physical characteristics of liposomes that determine their in vivo behaviour, including size, surface characteristics, lamellarity and homogeneity. Despite the great importance of the morphology of nanoparticles, it is generally not well characterized and difficult to control. Appropriate imaging techniques provide important details regarding the morphological characteristics of nanoparticles, and should be used in conjunction with other methods to assess physicochemical parameters. In this review, we will discuss the advantages and limitations of available imaging techniques used to evaluate liposomal formulations.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fphar.2018.00080

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 230

Metadata

Authors
Robson, A.-L., Dastoor, P. C., Flynn, J., Palmer, W., Martin, A., Smith, D. W., Woldu, A., & Hua, S.
Venue
Frontiers in Pharmacology
Published
2018-02-06
Volume
9
Pages
80-80
ISSN
1663-9812 (ISSN-L)
OpenAlex
W2790130032
Cited by
230
References
1
FWCI
5.15
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Advantages and Limitations of Current Imaging Techniques for Characterizing Liposome Morphology. https://app.cochat.ai/papers/10.3389/fphar.2018.00080
The paper
Robson, A.-L., Dastoor, P. C., Flynn, J., Palmer, W., Martin, A., Smith, D. W., Woldu, A., & Hua, S. (2018). Advantages and Limitations of Current Imaging Techniques for Characterizing Liposome Morphology. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2018.00080

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.