https://doi.org/10.7490/f1000research.1118675.1
Document
NOT PEER REVIEWED
Download
metrics
VIEWS
1251
 
downloads
254
CITE
How to cite this document:
Tappan S, Heal M, Sullivan A et al. Call for community review of the MBF neuromorphological file format v 4.0 [version 1; not peer reviewed]. F1000Research 2021, 10:712 (document) (https://doi.org/10.7490/f1000research.1118675.1)
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.
Policy document

Call for community review of the MBF neuromorphological file format v 4.0

Susan Tappan1, Maci Heal2, Aidan Sullivan2, INCF Standards and Best Practices Committee, Jyl Boline3
Author Affiliations
  • Metrics
  • 1251 Views
  • 254 Downloads
 
Part of the gateway
Published 31 Jul 2021

Policy document

Call for community review of the MBF neuromorphological file format v 4.0

[version 1; not peer reviewed]

Susan Tappan1, Maci Heal2, Aidan Sullivan2, Jyl Boline3
Author Affiliations
1 MBF Bioscience, Williston, USA
2 MBF Bioscience, Burlington, USA
3 Informed Minds, California, USA
Abstract
Competing Interests

No competing interests were disclosed

Keywords
neuromorphology, standard, community review, MBF Bioscience, INCF, XML based file structure
Comments
21 Comments
Chet Sherwood
The George Washington University, Washington, DC, USA
13 Oct 2021
My lab has been using MBF software for more than 15 years to perform quantitative measurements of brain microstructure and to trace neurons. I support the proposed initiative to incorporate FAIR principles to data standardization in their products using an... READ MORE
Daniel Perl
Uniformed Services University, Bethesda, USA
04 Oct 2021
I have used MBF products for several decades and consider them to be leaders in the field of quantitation in neuroscience. The concept of providing a universal standard format is something that is greatly needed and will clearly support collaboration... READ MORE
Zygmunt Galdzicki
Uniformed Services University, Bethesda, USA
04 Oct 2021
Our lab has been using Vesselucida for 4+ years and we are very excited at the prospect of a standard open source file format for FAIR use. We love your user-friendly program because it provides us with a unique quantitative... READ MORE
Peregrine Osborne
University of Melbourne, Australia
30 Sep 2021
Our lab has been working with MBF over the past six years in the context of the NIH SPARC program.
There is a clear need to standardise file formats to support future development in digital neuroanatomy and neuroinformatics. As closed... READ MORE
Zixi Cheng
University of Central Florida, Burnett School of Biomedical Sciences, College of Medicine, USA
30 Sep 2021
In the past few years, the XML file specification has allowed us to keep record of our metadata, from reconstructing an entire organ (i.e., heart) from an image volume (TissueMapper) to mapping parasympathetic/sympathetic efferent as well as vagal/spinal afferent innervation... READ MORE
Miguel Gama Sosa
Icahn School of Medicine at Mount Sinai, New York, USA
30 Sep 2021
Quantitative morphometry has made all the difference in our research involving blast-induced vascular degeneration. Such an initiative that should facilitate diffusion of standarized data across research institutions.
Alison Moss
Thomas Jefferson University, USA
30 Sep 2021
This format is so needed and so useful to the community! Our lab has already been able to modify data from the TissueMapper software through the SPARC project and integrated it with transcriptomics data to elevate it to the level... READ MORE
Daniel Peterson
Rosalind Franklin University of Medicine and Science, North Chicago, USA
30 Sep 2021
The adoption and use of the MBF Neuromorphological File Format v 4.0 would greatly facilitate reproducibility in data sharing.  With the increasing use of shared large data sets, it is increasingly necessary to have such a standard to ensure rapid and... READ MORE
Miguel Gama Sosa
Icahn School of Medicine at Mount Sinai, New York, USA
30 Sep 2021
A welcome initiative that should facilitate diffusion of standarized data across research institutions.
Bhavesh Patel
California Medical Innovations Institute, San Diego, CA, USA
30 Sep 2021
Our group has been working with MBF through our NIH SPARC projects. Their initiative to openly share and document their XML-based neuromorphological file format, used in some of our SPARC datasets, is very welcomed. Such an initiative must be encouraged... READ MORE
Mabelle Lin
Auckland Bioengineering Institute, University of Auckland, New Zealand
27 Sep 2021
We have been working with MBF under SPARC to map segmentation data in MBF XML format to our organ scaffolds. As we deal with data from different laboratory groups, having segmentation data in a consistent standardized format such as XML,... READ MORE
Mabelle Lin
Auckland Bioengineering Institute, University of Auckland, New Zealand
27 Sep 2021
We have been working with MBF under SPARC to map segmentation data in MBF XML format to our organ scaffolds. As we deal with data from different laboratory groups, having segmentation data in a consistent standardized format such as XML,... READ MORE
Rembrandt Bakker
Radboud University, Nijmegen, The Netherlands
27 Sep 2021
It is a very welcome move of MBF to document the XML-variant of the neuron morphology files produced by their Neurolucida product. While studying the documentation I came across quite a few issues that need to be resolved for this... READ MORE
Greg Elder
James J. Peters VA Medical Center, Bronx NY, USA
27 Sep 2021
Wonderful initiative that is much needed in the community. We would look forward to supporting in any way that we can.
Nobu Suto
The Scripps Research Institute, La Jolla, California, USA
27 Sep 2021
High-throughput neurocircuitry profiling methods are established for the smaller mouse – but not the larger rat – brain. Thus, my lab has been collaborating with MBF Bioscience to develop software (BrainMaker-RatBrain) reconstruct a 3D image of rat brain from 2D... READ MORE
David Nickerson
Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
27 Sep 2021
We have been working with MBF on the SPARC project to leverage their imaging expertise as part of workflows to map data into three-dimensional anatomical organ scaffolds. With the open publication of the Neuromorphological File Format, we are able to... READ MORE
Molly Abraham
University of Auckland, New Zealand
27 Sep 2021
My lab has been using MBF software for the past six years to trace neurons and found no issues with the XML file type. We support this initiative to standardize morphological data file formats as it will make collaborative work,... READ MORE
Patrick Hof
Icahn School of Medicine at Mount Sinai, New York, USA
27 Sep 2021
I have worked with MBF since the late 1990s, initially on neurostereology and later on of 3D tools for visualization and quantification of neuronal reconstructions at very high resolution, as well as microvascular brain networks. This initiative is essential in... READ MORE
Steven S Segal
University of Missouri, USA
21 Sep 2021
We have worked with MBF since 2002 to analyze microvascular networks, initially using NeuroLucida, and in more recent years, Vesselucida. Both platforms use XML file specification, which we have found to support seamless transition between live images and digital reconstruction.... READ MORE
Anita Bandrowski
SPARC Project (Curation team; UCSD), San Diego, USA
21 Sep 2021
This is a highly welcome initiative, exactly what is needed from all commercial vendors. This will support open science and improve our ability to store and maintain data repositories. Open formats are absolutely essential for data preservation. 
Thank you MBF... READ MORE
bob jacobs
Colorado College, colorado springs, co, USA
17 Sep 2021
Our lab has been tracing neurons for over 30 years--over 5,000 in total across a wide variety of species.  It is now commonplace for journals to require that such data be made publicly available when a paper is published.  The... READ MORE
 
Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.