Evidence map›Paper›PMID 24077519›Full record

ArticleJournal of biomedical optics2014

Thin-film tunable filters for hyperspectral fluorescence microscopy.

Peter Favreau, Clarissa Hernandez, Ashley Stringfellow Lindsey, Diego F Alvarez, Thomas Rich, Prashant Prabhat, Silas J Leavesley

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomedical optics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Comparison of spectral FRET microscopy approaches for single-cell analysis.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Sensitivity analysis of a multibranched light guide for real time hyperspectral imaging systems.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    Article
  17. Optimization of Light Transmission through an Excitation-scan Hyperspectral Mirror Array System.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    Article
  18. Hyperspectral imaging fluorescence excitation scanning (HIFEX) microscopy for live cell imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    Article
  19. Article
  20. Spectral imaging of FRET-based sensors reveals sustained cAMP gradients in three spatial dimensions.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    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

7 authors at 2 institutions in 1 country.

Peter FavreauUniversity of South Alabama, Department of Chemical and Biomolecular Engineering, Mobile, Alabama 36688, USA.
Clarissa Hernandez
Ashley Stringfellow Lindsey
Diego F Alvarez
Thomas Rich
Prashant Prabhat
Silas J Leavesley
University of South Alabama · USWinrock International (United States) · US

Funding

T-type Calcium Channels and von Willebrand Factor ReleaseP01HL066299 · NHLBI · UNIVERSITY OF SOUTH ALABAMA · PI ALVAREZ, DIEGO F. · 2001 to 2022
$34.6M
Training in Cell Signaling and Lung PathobiologyT32HL076125 · NHLBI · UNIVERSITY OF SOUTH ALABAMA · PI RICH, THOMAS C, STEVENS, TROY · 2004 to 2018
$2.7M
NHLBI NIH HHS P01 HL066299NHLBI NIH HHS T32 HL076125
6 · The paper itself

Abstract

Hyperspectral imaging is a powerful tool that acquires data from many spectral bands, forming a contiguous spectrum. Hyperspectral imaging was originally developed for remote sensing applications; however, hyperspectral techniques have since been applied to biological fluorescence imaging applications, such as fluorescence microscopy and small animal fluorescence imaging. The spectral filtering method largely determines the sensitivity and specificity of any hyperspectral imaging system. There are several types of spectral filtering hardware available for microscopy systems, most commonly acousto-optic tunable filters (AOTFs) and liquid crystal tunable filters (LCTFs). These filtering technologies have advantages and disadvantages. Here, we present a novel tunable filter for hyperspectral imaging-the thin-film tunable filter (TFTF). The TFTF presents several advantages over AOTFs and LCTFs, most notably, a high percentage transmission and a high out-of-band optical density (OD). We present a comparison of a TFTF-based hyperspectral microscopy system and a commercially available AOTF-based system. We have characterized the light transmission, wavelength calibration, and OD of both systems, and have then evaluated the capability of each system for discriminating between green fluorescent protein and highly autofluorescent lung tissue. Our results suggest that TFTFs are an alternative approach for hyperspectral filtering that offers improved transmission and out-of-band blocking. These characteristics make TFTFs well suited for other biomedical imaging devices, such as ophthalmoscopes or endoscopes.

Indexed as

AnimalsEndothelial CellsGreen Fluorescent ProteinsImage Processing, Computer-AssistedMaleMicroscopy, FluorescenceOptical ImagingRatsGreen Fluorescent Proteins

Identifiers

PMID24077519
PMCPMC3784641
OpenAlexW2015266660

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.