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Automated Fourier space region-recognition filtering for off-axis digital holographic microscopy.

Overview of attention for article published in Biomedical Optics Express, July 2016
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Title
Automated Fourier space region-recognition filtering for off-axis digital holographic microscopy.
Published in
Biomedical Optics Express, July 2016
DOI 10.1364/boe.7.003111
Pubmed ID
Authors

Xuefei He, Chuong Vinh Nguyen, Mrinalini Pratap, Yujie Zheng, Yi Wang, David R Nisbet, Richard J Williams, Melanie Rug, Alexander G Maier, Woei Ming Lee

Abstract

Automated label-free quantitative imaging of biological samples can greatly benefit high throughput diseases diagnosis. Digital holographic microscopy (DHM) is a powerful quantitative label-free imaging tool that retrieves structural details of cellular samples non-invasively. In off-axis DHM, a proper spatial filtering window in Fourier space is crucial to the quality of reconstructed phase image. Here we describe a region-recognition approach that combines shape recognition with an iterative thresholding method to extracts the optimal shape of frequency components. The region recognition technique offers fully automated adaptive filtering that can operate with a variety of samples and imaging conditions. When imaging through optically scattering biological hydrogel matrix, the technique surpasses previous histogram thresholding techniques without requiring any manual intervention. Finally, we automate the extraction of the statistical difference of optical height between malaria parasite infected and uninfected red blood cells. The method described here paves way to greater autonomy in automated DHM imaging for imaging live cell in thick cell cultures.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Master 9 17%
Researcher 9 17%
Student > Bachelor 7 13%
Professor > Associate Professor 6 11%
Other 6 11%
Unknown 6 11%
Readers by discipline Count As %
Physics and Astronomy 14 26%
Engineering 13 24%
Medicine and Dentistry 6 11%
Computer Science 4 7%
Agricultural and Biological Sciences 2 4%
Other 6 11%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 August 2016.
All research outputs
#15,165,138
of 23,323,574 outputs
Outputs from Biomedical Optics Express
#1,487
of 2,917 outputs
Outputs of similar age
#226,823
of 365,868 outputs
Outputs of similar age from Biomedical Optics Express
#30
of 34 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,917 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 365,868 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.