Evidence map›Paper›PMID 25607177›Full record

ArticleOptics express2014

Imaging bacterial 3D motion using digital in-line holographic microscopy and correlation-based de-noising algorithm.

Mehdi Molaei, Jian Sheng

Abstract read
In one paragraph

Article in Optics express, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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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

2 authors.

Mehdi Molaei
Jian Sheng

Funding

A new experimental platform to study biofilms: Microfluidic-DHMR21EB008844 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI STOCKER, ROMAN · 2008 to 2009
$424k
NIBIB NIH HHS 1-R21-EB00884NIBIB NIH HHS R21 EB008844
6 · The paper itself

Abstract

Better understanding of bacteria environment interactions in the context of biofilm formation requires accurate 3-dimentional measurements of bacteria motility. Digital Holographic Microscopy (DHM) has demonstrated its capability in resolving 3D distribution and mobility of particulates in a dense suspension. Due to their low scattering efficiency, bacteria are substantially difficult to be imaged by DHM. In this paper, we introduce a novel correlation-based de-noising algorithm to remove the background noise and enhance the quality of the hologram. Implemented in conjunction with DHM, we demonstrate that the method allows DHM to resolve 3-D E. coli bacteria locations of a dense suspension (>10

Indexed as

AlgorithmsCell TrackingEscherichia coliHolographyImage EnhancementImaging, Three-DimensionalMicroscopyPattern Recognition, AutomatedReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID25607177
PMCPMC4317141

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.