Evidence map›Paper›PMID 30876144›Full record

ArticleOptics express2019

Multicolor fluorescent imaging by space-constrained computational spectral imaging.

Y Wang, B Yang, S Feng, V Pessino, B Huang

Abstract read
In one paragraph

Article in Optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors.

Y Wang
B Yang
S Feng
V Pessino
B Huang

Funding

Structure mapping of molecular complexes by super-resolution microscopyR01GM124334 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, BO · 2018 to 2021
$1.3M
Multimerized GFP probe for live cell imagingR21EB022798 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, BO · 2016 to 2017
$436k
NIBIB NIH HHS R21 EB022798NIGMS NIH HHS R01 GM124334
6 · The paper itself

Abstract

Spectral imaging is a powerful technique used to simultaneously study multiple fluorophore labels with overlapping emissions. Here, we present a computational spectral imaging method, which uses sample spatial fluorescence information as a reconstruction constraint. Our method addresses both the under-sampling issue of compressive spectral imaging and the low throughput issue of scanning spectral imaging. With simulated and experimental data, we have demonstrated the reconstruction precision of our method in two and three-color imaging. We have experimentally validated this method for differentiating cellular structures labeled with two red-colored fluorescent proteins, tdTomato and mCherry, which have highly overlapping emission spectra. Our method has the advantage of totally free wavelength choice and can also be combined with conventional filter-based sequential multi-color imaging to further improve multiplexing capability.

Identifiers

PMID30876144
PMCPMC6410920

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.