LaTeX templates and examples — Preprints
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
A sample template to submit papers to MarXiv: the free research repository for the ocean and marine-climate sciences. Documentation for MarXiv is available at https://www.marxiv.org. The repository is located at https://osf.io/preprints/marxiv. This template is based on the engrXiv template, accessible at https://www.overleaf.com/latex/templates/engrxiv-template/ttrnvgdkgcgy.

Super-resolution microscopy has become essential for the study of nanoscale biological processes. This type of imaging often requires the use of specialised image analysis tools to process a large volume of recorded data and extract quantitative information. In recent years, our team has built an open-source image analysis framework for super-resolution microscopy designed to combine high performance and ease of use. We named it NanoJ - a reference to the popular ImageJ software it was developed for. In this paper, we highlight the current capabilities of NanoJ for several essential processing steps: spatio-temporal alignment of raw data (NanoJ-Core), super-resolution image reconstruction (NanoJ-SRRF), image quality assessment (NanoJ-SQUIRREL), structural modelling (NanoJ-VirusMapper) and control of the sample environment (NanoJ-Fluidics). We expect to expand NanoJ in the future through the development of new tools designed to improve quantitative data analysis and measure the reliability of fluorescent microscopy studies.
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This is a gorgeous template for bioRxiv pre-prints. An example manuscript using it can be found here.
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Based on the article latex template of the Journal of Statistical Software by Achim Zeileis. Reformated for SocArXiv by Chris Marcum (cmarcum@uci.edu). Source: https://osf.io/mfvu4/, downloaded on 2017/04/05.
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