Example of Biomedical Optics Express format
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Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format Example of Biomedical Optics Express format
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open access Open Access ISSN: 21567085

Biomedical Optics Express — Template for authors

Publisher: The Optical Society
Categories Rank Trend in last 3 yrs
Atomic and Molecular Physics, and Optics #27 of 192 down down by 8 ranks
Biotechnology #52 of 282 down down by 11 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 1855 Published Papers | 13347 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 17/07/2020
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FAQ

Journal Performance & Insights

  • Impact Factor
  • CiteRatio
  • SJR
  • SNIP

Impact factor determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

3.921

0% from 2018

Impact factor for Biomedical Optics Express from 2016 - 2019
Year Value
2019 3.921
2018 3.91
2017 3.482
2016 3.337
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 0% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

CiteRatio is a measure of average citations received per peer-reviewed paper published in the journal.

7.2

7% from 2019

CiteRatio for Biomedical Optics Express from 2016 - 2020
Year Value
2020 7.2
2019 6.7
2018 6.5
2017 6.5
2016 5.8
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 7% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR) measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

1.362

14% from 2019

SJR for Biomedical Optics Express from 2016 - 2020
Year Value
2020 1.362
2019 1.591
2018 1.516
2017 1.486
2016 1.453
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 14% in last years.
  • This journal’s SJR is in the top 10 percentile category.

Source Normalized Impact per Paper (SNIP) measures actual citations received relative to citations expected for the journal's category.

1.55

14% from 2019

SNIP for Biomedical Optics Express from 2016 - 2020
Year Value
2020 1.55
2019 1.796
2018 1.604
2017 1.6
2016 1.471
graph view Graph view
table view Table view

insights Insights

  • SNIP of this journal has decreased by 14% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Related Journals

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CiteRatio: 10.2 | SJR: 1.293 | SNIP: 2.448
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Biomedical Optics Express

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The Optical Society

Biomedical Optics Express

The journal's scope encompasses fundamental research, technology development, biomedical studies and clinical applications. Biomedical Optics Express focuses on all the leading edge topics in the field, including: Tissue optics and spectroscopy; Novel microscopies; Optical coh...... Read More

Atomic and Molecular Physics, and Optics

Biotechnology

Physics and Astronomy

i
Last updated on
16 Jul 2020
i
ISSN
2156-7085
i
Impact Factor
High - 1.677
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
unsrt
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker. Specular andreev reflection in graphene. Phys. Rev. Lett., 97(6):067007, 2006.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1364/BOE.8.000679
Low-dose CT via convolutional neural network
Hu Chen1, Yi Zhang1, Weihua Zhang1, Peixi Liao, Ke Li1, Jiliu Zhou1, Ge Wang2

Abstract:

In order to reduce the potential radiation risk, low-dose CT has attracted an increasing attention. However, simply lowering the radiation dose will significantly degrade the image quality. In this paper, we propose a new noise reduction method for low-dose CT via deep learning without accessing original projection data. A de... In order to reduce the potential radiation risk, low-dose CT has attracted an increasing attention. However, simply lowering the radiation dose will significantly degrade the image quality. In this paper, we propose a new noise reduction method for low-dose CT via deep learning without accessing original projection data. A deep convolutional neural network is here used to map low-dose CT images towards its corresponding normal-dose counterparts in a patch-by-patch fashion. Qualitative results demonstrate a great potential of the proposed method on artifact reduction and structure preservation. In terms of the quantitative metrics, the proposed method has showed a substantial improvement on PSNR, RMSE and SSIM than the competing state-of-art methods. Furthermore, the speed of our method is one order of magnitude faster than the iterative reconstruction and patch-based image denoising methods. read more read less

Topics:

Convolutional neural network (54%)54% related to the paper, Iterative reconstruction (53%)53% related to the paper, Deep learning (53%)53% related to the paper, Image quality (52%)52% related to the paper, Image processing (50%)50% related to the paper
439 Citations
open accessOpen access Journal Article DOI: 10.1364/BOE.5.002376
Multiplexed coded illumination for Fourier Ptychography with an LED array microscope.
Lei Tian1, Xiao Li1, Kannan Ramchandran1, Laura Waller1

Abstract:

Fourier Ptychography is a new computational microscopy technique that achieves gigapixel images with both wide field of view and high resolution in both phase and amplitude. The hardware setup involves a simple replacement of the microscope's illumination unit with a programmable LED array, allowing one to flexibly pattern il... Fourier Ptychography is a new computational microscopy technique that achieves gigapixel images with both wide field of view and high resolution in both phase and amplitude. The hardware setup involves a simple replacement of the microscope's illumination unit with a programmable LED array, allowing one to flexibly pattern illumination angles without any moving parts. In previous work, a series of low-resolution images was taken by sequentially turning on each single LED in the array, and the data were then combined to recover a bandwidth much higher than the one allowed by the original imaging system. Here, we demonstrate a multiplexed illumination strategy in which multiple randomly selected LEDs are turned on for each image. Since each LED corresponds to a different area of Fourier space, the total number of images can be significantly reduced, without sacrificing image quality. We demonstrate this method experimentally in a modified commercial microscope. Compared to sequential scanning, our multiplexed strategy achieves similar results with approximately an order of magnitude reduction in both acquisition time and data capture requirements. read more read less

Topics:

Ptychography (57%)57% related to the paper, Microscope (56%)56% related to the paper
View PDF
417 Citations
open accessOpen access Journal Article DOI: 10.1364/BOE.3.003127
Quantitative OCT angiography of optic nerve head blood flow

Abstract:

Optic nerve head (ONH) blood flow may be associated with glaucoma development. A reliable method to quantify ONH blood flow could provide insight into the vascular component of glaucoma pathophysiology. Using ultrahigh-speed optical coherence tomography (OCT), we developed a new 3D angiography algorithm called split-spectrum ... Optic nerve head (ONH) blood flow may be associated with glaucoma development. A reliable method to quantify ONH blood flow could provide insight into the vascular component of glaucoma pathophysiology. Using ultrahigh-speed optical coherence tomography (OCT), we developed a new 3D angiography algorithm called split-spectrum amplitude-decorrelation angiography (SSADA) for imaging ONH microcirculation. In this study, a method to quantify SSADA results was developed and used to detect ONH perfusion changes in early glaucoma. En face maximum projection was used to obtain 2D disc angiograms, from which the average decorrelation values (flow index) and the percentage area occupied by vessels (vessel density) were computed from the optic disc and a selected region within it. Preperimetric glaucoma patients had significant reductions of ONH perfusion compared to normals. This pilot study indicates OCT angiography can detect the abnormalities of ONH perfusion and has the potential to reveal the ONH blood flow mechanism related to glaucoma. read more read less

Topics:

Optic disc (56%)56% related to the paper, Glaucoma (55%)55% related to the paper, Angiography (52%)52% related to the paper, Optic nerve (50%)50% related to the paper
380 Citations
open accessOpen access Journal Article DOI: 10.1364/BOE.8.003627
ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks.

Abstract:

Optical coherence tomography (OCT) is used for non-invasive diagnosis of diabetic macular edema assessing the retinal layers. In this paper, we propose a new fully convolutional deep architecture, termed ReLayNet, for end-to-end segmentation of retinal layers and fluid masses in eye OCT scans. ReLayNet uses a contracting path... Optical coherence tomography (OCT) is used for non-invasive diagnosis of diabetic macular edema assessing the retinal layers. In this paper, we propose a new fully convolutional deep architecture, termed ReLayNet, for end-to-end segmentation of retinal layers and fluid masses in eye OCT scans. ReLayNet uses a contracting path of convolutional blocks (encoders) to learn a hierarchy of contextual features, followed by an expansive path of convolutional blocks (decoders) for semantic segmentation. ReLayNet is trained to optimize a joint loss function comprising of weighted logistic regression and Dice overlap loss. The framework is validated on a publicly available benchmark dataset with comparisons against five state-of-the-art segmentation methods including two deep learning based approaches to substantiate its effectiveness. read more read less

Topics:

Optical coherence tomography (52%)52% related to the paper, Deep learning (52%)52% related to the paper, Segmentation (51%)51% related to the paper
View PDF
334 Citations
open accessOpen access Journal Article DOI: 10.1364/BOE.3.001182
Motion correction in optical coherence tomography volumes on a per A-scan basis using orthogonal scan patterns

Abstract:

High speed Optical Coherence Tomography (OCT) has made it possible to rapidly capture densely sampled 3D volume data. One key application is the acquisition of high quality in vivo volumetric data sets of the human retina. Since the volume is acquired in a few seconds, eye movement during the scan process leads to distortion,... High speed Optical Coherence Tomography (OCT) has made it possible to rapidly capture densely sampled 3D volume data. One key application is the acquisition of high quality in vivo volumetric data sets of the human retina. Since the volume is acquired in a few seconds, eye movement during the scan process leads to distortion, which limits the accuracy of quantitative measurements using 3D OCT data. In this paper, we present a novel software based method to correct motion artifacts in OCT raster scans. Motion compensation is performed retrospectively using image registration algorithms on the OCT data sets themselves. Multiple, successively acquired volume scans with orthogonal fast scan directions are registered retrospectively in order to estimate and correct eye motion. Registration is performed by optimizing a large scale numerical problem as given by a global objective function using one dense displacement field for each input volume and special regularization based on the time structure of the acquisition process. After optimization, each volume is undistorted and a single merged volume is constructed that has superior signal quality compared to the input volumes. Experiments were performed using 3D OCT data from the macula and optic nerve head acquired with a high-speed ultra-high resolution 850 nm spectral OCT as well as wide field data acquired with a 1050 nm swept source OCT instrument. Evaluation of registration performance and result stability as well as visual inspection shows that the algorithm can correct for motion in all three dimensions and on a per A-scan basis. Corrected volumes do not show visible motion artifacts. In addition, merging multiple motion corrected and registered volumes leads to improved signal quality. These results demonstrate that motion correction and merging improves image quality and should also improve morphometric measurement accuracy from volumetric OCT data. read more read less

Topics:

Image registration (53%)53% related to the paper, Image quality (53%)53% related to the paper, Motion compensation (52%)52% related to the paper, Optical coherence tomography (51%)51% related to the paper
View PDF
326 Citations
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Biomedical Optics Express format uses unsrt citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

Absolutely not! With our tool, you can freely write without having to focus on LaTeX. You can write your entire paper as per the Biomedical Optics Express guidelines and autoformat it.

Yes. The template is fully compliant as per the guidelines of this journal. Our experts at SciSpace ensure that. Also, if there's any update in the journal format guidelines, we take care of it and include that in our algorithm.

Sure. We support all the top citation styles like APA style, MLA style, Vancouver style, Harvard style, Chicago style, etc. For example, in case of this journal, when you write your paper and hit autoformat, it will automatically update your article as per the Biomedical Optics Express citation style.

You can avail our Free Trial for 7 days. I'm sure you'll find our features very helpful. Plus, it's quite inexpensive.

Yup. You can choose the right template, copy-paste the contents from the word doc and click on auto-format. You'll have a publish-ready paper that you can download at the end.

A matter of seconds. Besides that, our intuitive editor saves a load of your time in writing and formating your manuscript.

One little Google search can get you the Word template for any journal. However, why do you need a Word template when you can write your entire manuscript on SciSpace, autoformat it as per Biomedical Optics Express's guidelines and download the same in Word, PDF and LaTeX formats? Try us out!.

Absolutely! You can do it using our intuitive editor. It's very easy. If you need help, you can always contact our support team.

SciSpace is an online tool for now. We'll soon release a desktop version. You can also request (or upvote) any feature that you think might be helpful for you and the research community in the feature request section once you sign-up with us.

Sure. You can request any template and we'll have it up and running within a matter of 3 working days. You can find the request box in the Journal Gallery on the right sidebar under the heading, "Couldn't find the format you were looking for?".

After you have written and autoformatted your paper, you can download it in multiple formats, viz., PDF, Docx and LaTeX.

To be honest, the answer is NO. The impact factor is one of the many elements that determine the quality of a journal. Few of those factors the review board, rejection rates, frequency of inclusion in indexes, Eigenfactor, etc. You must assess all the factors and then take the final call.

SHERPA/RoMEO Database

We have extracted this data from Sherpa Romeo to help our researchers understand the access level of this journal. The following table indicates the level of access a journal has as per Sherpa Romeo Archiving Policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

The 5 most common citation types in order of usage are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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After uploading your paper on SciSpace, you would see a button to request a journal submission service for Biomedical Optics Express.

Each submission service is completed within 4 - 5 working days.

Yes. SciSpace provides this functionality.

After signing up, you would need to import your existing references from Word or .bib file.

SciSpace would allow download of your references in Biomedical Optics Express Endnote style, according to the-optical-society guidelines.

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