Evidence map›Paper›PMID 39679413›Full record

ArticleBiomedical optics express2024

Microfluidics-based automatic immunofluorescence staining for single-molecule localization microscopy.

Jun Dong, Weibing Kuang, Bing Shi, Zhen-Li Huang

Abstract read
In one paragraph

Article in Biomedical optics express, 2024. 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
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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

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

4 authors.

Jun DongState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya 572025, China.
Weibing KuangBritton Chance Center and MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan 430074, China.
Bing ShiState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya 572025, China.ORCID https://orcid.org/0000-0001-9117-1945
Zhen-Li HuangState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya 572025, China.ORCID https://orcid.org/0000-0003-2400-966X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Full automation of single-molecule localization microscopy (SMLM) is crucial for large-scale and high-throughput cellular imaging. It is well-known that SMLM typically consists of three major steps: immunofluorescence (IF) staining, optical imaging, and image processing. Currently, automation in optical imaging and image processing is almost complete; however, the automation of IF staining has been slow to advance, probably due to its complicated experimental operations. Here we present a low-cost automated method for IF staining, called super-resolution immunofluorescence staining by microfluidics (SRIF-fluidics). This method is suitable for both adherent and suspension cells and supports single-color and multi-color IF staining for SMLM. Our results show that SRIF-fluidics reduces antibody consumption by about 75% and shortens the sample preparation time from 5.6 hours (manual operation) to 2.5 ∼ 4.4 hours, depending on the sample types. Importantly, this method provides a satisfactory consistency of imaging results without sacrificing sample labeling quality. We believe that the method proposed in this paper is a necessary supplement to achieving fully automated SMLM and facilitating high-throughput SMLM in the near future.

Identifiers

PMID39679413
PMCPMC11640577

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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.