Evidence map›Paper›PMID 18363409›Full record

ArticleAnalytical chemistry2008

Sizing subcellular organelles and nanoparticles confined within aqueous droplets.

Jennifer C Gadd, Christopher L Kuyper, Bryant S Fujimoto, Richard W Allen, Daniel T Chiu

Abstract read
In one paragraph

Article in Analytical chemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Micro- and Nano-Devices for Studying Subcellular Biology.Small (Weinheim an der Bergstrasse, Germany) · 2021
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Droplets for ultrasmall-volume analysis.Analytical chemistry · 2009
    Article
  10. Article
  11. Article
  12. Review
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

5 authors.

Jennifer C GaddDepartment of Chemistry, University of Washington, Box 351700, Seattle, Washington 98195-1700, USA.
Christopher L Kuyper
Bryant S Fujimoto
Richard W Allen
Daniel T Chiu

Funding

High-Resolution Analysis of Synaptic ProteinsR01NS052637 · NINDS · UNIVERSITY OF WASHINGTON · PI CHIU, DANIEL T · 2005 to 2013
$3.2M
Profiling Biochemical Contents of Single MitochondriaR01EB005197 · NIBIB · UNIVERSITY OF WASHINGTON · PI CHIU, DANIEL T · 2006 to 2009
$1.3M
NIBIB NIH HHS EB005197NIBIB NIH HHS R01 EB005197NINDS NIH HHS NS052637NINDS NIH HHS R01 NS052637
6 · The paper itself

Abstract

This article describes two complementary techniques, single-particle tracking and correlation spectroscopy, for accurately sizing nanoparticles confined within picoliter volume aqueous droplets. Single-particle tracking works well with bright particles that can be continuously illuminated and imaged, and we demonstrated this approach for sizing single fluorescent beads. Fluorescence correlation spectroscopy detects small intensity bursts from particles or molecules diffusing through the confocal probe volume, which works well with dim and rapidly diffusing particles or molecules; we demonstrated FCS for sizing synaptic vesicles confined in aqueous droplets. In combination with recent advances in droplet manipulations and analysis, we anticipate this capability to size single nanoparticles and molecules in free solution will complement existing tools for probing cellular systems, subcellular organelles, and nanoparticles.

Indexed as

AlgorithmsAnimalsDiffusionMicrofluidicsMicroscopy, FluorescenceNanoparticlesOrganellesRatsSpectrometry, FluorescenceSurface PropertiesSynaptic VesiclesWaterWater

Identifiers

PMID18363409
PMCPMC2692466

What OpenQuestion holds

Textmetadata
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.