MicroFile+ is a free tool that solves a problem faced across laboratories and imaging facilities. Modern microscopic imaging devices can generate vast quantities and types of data. Organizing, storing, and analyzing this big data is a daunting problem that MicroFile+ solves. MicroFile+ turns large, unwieldy multi-dimensional data from most imaging sources into compact, easy to manage, and documented files that can be instantly loaded by MBF Bioscience products for analyses. The files can also be used by numerous other software applications. MicroFile+ also preserves instrumental and experimental metadata and includes extensive functionality for adding and curating metadata to fully describe and document image data.
MicroFile+ uses state-of-the-art compression methods to efficiently and accurately convert 2D and 3D images from most sources and formats into manageable, standardized experimental results. Formats from slide scanners, confocal microscopes, light sheet microscopes, and standard sources are all supported. Convert nearly any type of image to the widely used jpeg2000 or OME-TIFF standards. These formats efficiently store big image and metadata for fast retrieval, viewing, and analyses across applications. MicroFile+ can convert images without limits on the number of fluorescent and brightfield channels in the experiment.
MicroFile+ was developed with support by the SPARC program [Grant number 3OT3OD025349-01S2]
|Compatible Input File Formats|
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Microfile+ is used across the globe by the most prestigious laboratories.
MBF’s software utility is underscored by the number of references it receives in the worlds most important scientific publications.
Jiang, T., Y. Yang, et al.
“MicroRNA-218 regulates neuronal radial migration and morphogenesis by targeting Satb2 in developing neocortex.” Biochemical and Biophysical Research CommunicationsView Publication
Hu, W., S. Zhu, et al.
“Functional ultrasound imaging reveals 3D structure of orientation domains in ferret primary visual cortex.” NeuroImageView Publication
Correa, D., M. I. Scheuber, et al.
“Intranasal delivery of full-length anti-Nogo-A antibody: A potential alternative route for therapeutic antibodies to central nervous system targets.” Proceedings of the National Academy of SciencesView Publication
Ali, Z., G. Sivakumar, et al.
“A report on digitised neuronal tracing method to study neurons in their entirety.” MethodsXView Publication
Jaffey, D. M., J. McAdams, et al.
“Vagal Preganglionic Axons Arborize in the Myenteric Plexus into Two Types: Nitrergic and Non-nitrergic Postganglionic Motor Pools?” American Journal of Physiology-Regulatory, Integrative and Comparative PhysiologyView Publication
The MicroFile+ converter identifies any recognizable metadata associated with files to pre-populate metadata fields. This minimizes the information that you need to input for converting image(s) to different image format(s). To obtain converted files that contain as much metadata as possible, we recommend that you convert files created using the default image-acquisition format for your imaging system.
The appropriate compression level must be determined empirically. We suggest that you start testing with a 40:1 compression ratio. Open the images in your analysis software and compare with images that are not compressed. If there are visible artifacts, convert the source image again with a 20:1 compression ratio and compare to uncompressed image files. Repeat as needed, halving the compression ratio until there are no visible artifacts compared to uncompressed images.
We invite you to our forum for MicroFile+ software, where you can message experts and other users about topics like compression and other MBF Bioscience products.
Any image in a compatible format can be converted. See specification section above for compatible file formats.
Yes. MicroFile+ supports the collaborative goals of Open Science through the practice of data openness, integrity, and reproducibility, by using MBF Bioscience’s published digital reconstruction data file format, the Neuromorphological File Specification (NFS), which was recently endorsed by the INCF. The data elements in this NFS format were specifically implemented to ensure the files are Findable, Accessible, Interoperable, and Reusable (FAIR).
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Please fill out the form below to download MicroFile+. An email with a download link and license code will be emailed to you.
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