Evidence map›Paper›PMID 38817319›Full record

ReviewChemical & biomedical imaging2024

Advancements and Practical Considerations for Biophysical Research: Navigating the Challenges and Future of Super-resolution Microscopy.

Huanhuan Chen, Guangjie Yan, Meng-Hsuan Wen, Kameron N Brooks, Yuteng Zhang, Pei-San Huang, Tai-Yen Chen

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
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  4. From Microscale to Nanoscale Shadow Electrochemiluminescence Microscopy.Angewandte Chemie (International ed. in English) · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Huanhuan ChenDepartment of Chemistry, University of Houston, Houston, Texas 77204, United States.
Guangjie YanDepartment of Chemistry, University of Houston, Houston, Texas 77204, United States.
Meng-Hsuan WenDepartment of Chemistry, University of Houston, Houston, Texas 77204, United States.
Kameron N BrooksDepartment of Chemistry, University of Houston, Houston, Texas 77204, United States.
Yuteng ZhangDepartment of Chemistry, University of Houston, Houston, Texas 77204, United States.
Pei-San HuangDepartment of Chemistry, University of Houston, Houston, Texas 77204, United States.
Tai-Yen ChenDepartment of Chemistry, University of Houston, Houston, Texas 77204, United States.ORCID https://orcid.org/0000-0002-2881-3068

Funding

Quantitative Cu-Homeostasis in Live Mammalian Cells at the Single-Molecule LevelR35GM133505 · NIGMS · UNIVERSITY OF HOUSTON · PI CHEN, TAI-YEN · 2019 to 2023
$2.1M
NIGMS NIH HHS R35 GM133505
6 · The paper itself

Abstract

The introduction of super-resolution microscopy (SRM) has significantly advanced our understanding of cellular and molecular dynamics, offering a detailed view previously beyond our reach. Implementing SRM in biophysical research, however, presents numerous challenges. This review addresses the crucial aspects of utilizing SRM effectively, from selecting appropriate fluorophores and preparing samples to analyzing complex data sets. We explore recent technological advancements and methodological improvements that enhance the capabilities of SRM. Emphasizing the integration of SRM with other analytical methods, we aim to overcome inherent limitations and expand the scope of biological insights achievable. By providing a comprehensive guide for choosing the most suitable SRM methods based on specific research objectives, we aim to empower researchers to explore complex biological processes with enhanced precision and clarity, thereby advancing the frontiers of biophysical research.

Identifiers

PMID38817319
PMCPMC11134610

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Registered trials

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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.