Evidence map›Paper›PMID 40512684›Full record

ArticlePloS one2025

Fast photostable expansion microscopy using QDots and deconvolution.

Loku Gunawardhana, Wilna Moree, Jiaming Guo, Camille Artur, Tasha Womack, Jason L Eriksen, David Mayerich

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Loku GunawardhanaUniversity of Houston, Department of Electrical and Computer Engineering, Houston, Texas, United States of America.
Wilna MoreeSwiftFront, LLC, Houston, Texas, United States of America.
Jiaming GuoUniversity of Houston, Department of Electrical and Computer Engineering, Houston, Texas, United States of America.
Camille ArturUniversity of Houston, Department of Electrical and Computer Engineering, Houston, Texas, United States of America.
Tasha WomackUniversity of Houston, Department of Pharmacological and Pharmaceutical Sciences, Houston, Texas, United States of America.
Jason L EriksenUniversity of Houston, Department of Pharmacological and Pharmaceutical Sciences, Houston, Texas, United States of America.
David MayerichUniversity of Houston, Department of Electrical and Computer Engineering, Houston, Texas, United States of America.ORCID https://orcid.org/0000-0002-3949-6133

Funding

Structural and Molecular Phenotyping of Embryonic Development through Multi-Modal Optical ImagingR01HL146745 · NHLBI · UNIVERSITY OF HOUSTON · PI MAYERICH, DAVID · 2019 to 2023
$3.7M
NHLBI NIH HHS R01 HL146745
6 · The paper itself

Abstract

Expansion microscopy (ExM) enables sub-diffraction imaging by physically expanding labeled tissue samples. This increases the tissue volume relative to the instrument point spread function (PSF), thereby improving the effective resolution by reported factors of 4 - 20X. However, this volume increase dilutes the fluorescence signal, reducing both signal-to-noise ratio (SNR) and acquisition speed. This paper proposes and validates a method for mitigating these challenges. We overcame the limitations of ExM by developing a fast photo-stable protocol to enable scalable widefield three-dimensional imaging with ExM. We combined widefield imaging with quantum dots (QDots). Widefield imaging provides a significantly faster acquisition of a single field-of-view (FOV). However, the uncontrolled incoherent illumination induces photobleaching. We mitigated this challenge using QDots, which exhibit a long fluorescence lifetime and improved photostability. First, we developed a protocol for QDot labeling. Next, we utilized widefield imaging to obtain 3D image stacks and applied deconvolution, which is feasible due to reduced scattering in ExM samples. We show that increased transparency, which is a side-effect of ExM, enables widefield deconvolution, dramatically reducing the acquisition time for three-dimensional images compared to laser scanning microscopy. The proposed QDot labeling protocol is compatible with ExM and provides enhanced photostability compared to traditional fluorescent dyes. Widefield imaging significantly improves SNR and acquisition speed compared to conventional confocal microscopy. Combining widefield imaging with QDot labeling and deconvolution has the potential to be applied to ExM for faster imaging of large three-dimensional samples with improved SNR.

Indexed as

Quantum DotsAnimalsImaging, Three-DimensionalMiceMicroscopy, FluorescenceSignal-To-Noise Ratio

Identifiers

PMID40512684
PMCPMC12165338

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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.