Evidence map›Paper›PMID 25545548›Full record

ArticlePloS one2014

A microfluidic platform for correlative live-cell and super-resolution microscopy.

Johnny Tam, Guillaume Alan Cordier, Štefan Bálint, Ángel Sandoval Álvarez, Joseph Steven Borbely, Melike Lakadamyali

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
8.7field-weighted citation impact, top 3% of its field
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

20 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
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  3. Nanotherapeutic Heterogeneity: Sources, Effects, and Solutions.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Review
  4. Article
  5. Super-Resolution-Chip: anBiomedical optics express · 2023
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Shedding light on biology of bacterial cells.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Review
  17. Review
  18. Article
  19. Article
  20. Article
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

6 authors at 1 institution in 1 country.

Johnny TamICFO-Institut de Ciències Fotòniques (ICFO), 08860, Castelledefels (Barcelona), Spain.
Guillaume Alan CordierICFO-Institut de Ciències Fotòniques (ICFO), 08860, Castelledefels (Barcelona), Spain.
Štefan BálintICFO-Institut de Ciències Fotòniques (ICFO), 08860, Castelledefels (Barcelona), Spain.
Ángel Sandoval ÁlvarezICFO-Institut de Ciències Fotòniques (ICFO), 08860, Castelledefels (Barcelona), Spain.
Joseph Steven BorbelyICFO-Institut de Ciències Fotòniques (ICFO), 08860, Castelledefels (Barcelona), Spain.
Melike LakadamyaliICFO-Institut de Ciències Fotòniques (ICFO), 08860, Castelledefels (Barcelona), Spain.
Institute of Photonic Sciences · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, super-resolution microscopy methods such as stochastic optical reconstruction microscopy (STORM) have enabled visualization of subcellular structures below the optical resolution limit. Due to the poor temporal resolution, however, these methods have mostly been used to image fixed cells or dynamic processes that evolve on slow time-scales. In particular, fast dynamic processes and their relationship to the underlying ultrastructure or nanoscale protein organization cannot be discerned. To overcome this limitation, we have recently developed a correlative and sequential imaging method that combines live-cell and super-resolution microscopy. This approach adds dynamic background to ultrastructural images providing a new dimension to the interpretation of super-resolution data. However, currently, it suffers from the need to carry out tedious steps of sample preparation manually. To alleviate this problem, we implemented a simple and versatile microfluidic platform that streamlines the sample preparation steps in between live-cell and super-resolution imaging. The platform is based on a microfluidic chip with parallel, miniaturized imaging chambers and an automated fluid-injection device, which delivers a precise amount of a specified reagent to the selected imaging chamber at a specific time within the experiment. We demonstrate that this system can be used for live-cell imaging, automated fixation, and immunostaining of adherent mammalian cells in situ followed by STORM imaging. We further demonstrate an application by correlating mitochondrial dynamics, morphology, and nanoscale mitochondrial protein distribution in live and super-resolution images.

Indexed as

AnimalsCell LineChlorocebus aethiopsMicrofluidicsMicroscopy, FluorescenceMitochondria

Identifiers

PMID25545548
PMCPMC4278722
OpenAlexW1973603991

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

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.