Evidence map›Paper›PMID 29276328›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2017

A fully-automated multiscale kernel graph cuts based particle localization scheme for temporal focusing two-photon microscopy.

Xia Huang, Chunqiang Li, Chuan Xiao, Wenqing Sun, Wei Qian

Abstract read
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In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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5 · Who and what money

Authors and funding

5 authors.

Xia HuangDepartment of Electrical and Computer Engineering, University of Texas, El Paso, TX, USA.
Chunqiang LiDepartment of Physics, University of Texas at El Paso, El Paso, TX, USA.
Chuan XiaoDepartment of Chemistry, University of Texas at El Paso, El Paso, TX, USA.
Wenqing SunDepartment of Electrical and Computer Engineering, University of Texas, El Paso, TX, USA.
Wei QianDepartment of Electrical and Computer Engineering, University of Texas, El Paso, TX, USA.

Funding

Super Resolution Pump-Probe Microscopy for Biomedical ImagingSC2GM103719 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI LI, CHUNQIANG · 2014 to 2016
$447k
NIGMS NIH HHS SC2 GM103719
6 · The paper itself

Abstract

The temporal focusing two-photon microscope (TFM) is developed to perform depth resolved wide field fluorescence imaging by capturing frames sequentially. However, due to strong nonignorable noises and diffraction rings surrounding particles, further researches are extremely formidable without a precise particle localization technique. In this paper, we developed a fully-automated scheme to locate particles positions with high noise tolerance. Our scheme includes the following procedures: noise reduction using a hybrid Kalman filter method, particle segmentation based on a multiscale kernel graph cuts global and local segmentation algorithm, and a kinematic estimation based particle tracking method. Both isolated and partial-overlapped particles can be accurately identified with removal of unrelated pixels. Based on our quantitative analysis, 96.22% isolated particles and 84.19% partial-overlapped particles were successfully detected.

Indexed as

Diffraction ringKalman filterMultiscale kernel graph cutsParticle localizationTemporal focusing two-photon microscope (TFM)

Identifiers

PMID29276328
PMCPMC5737779

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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.