Gallery — Preprints

This is a basic article template for MIT CSAIL preprints (i.e., submissions to arXiv).

A paper template for submissions to engrXiv, the eprint server for engineering.

A template for submitting articles to paleorXiv.

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.

LaTeX style template suitable for “preprint” publications such as arXiv and bio-arXiv.

Template for writing scientific manuscripts. Features several examples of how to embed figures directly into the text. Use it to create compiled PDFs - e.g. for pre-peer review publication on the arXiv, bioRxiv, or to a repository such as figshare. To submit your manuscript to the arXiv, bioRxiv, figshare or one of many other destinations linked to from Overleaf, simply click the 'Journals & Services' button on the top bar of the Overleaf editor and choose the appropriate destination from the menu. You can also use the 'Download as zip - for submission' option in the Project menu to download a zip file containing all the required files for the submission (e.g. including the .bbl file if you've used a bibliography file for your references).

Developing a fast a versatile algorithm for curve fitting with neural networks.

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.

This is a gorgeous template for bioRxiv pre-prints. An example manuscript using it can be found here.