CIVIT dataset: Integral microscopy with Fourier plane recording

This article describes a dataset of synthetic images represent-ing biological scenery as captured by a Fourier Lightfield Mi-croscope (FLMic). It includes 22,416 images related to eight scenes composed of 3D models of objects typical for biolog-ical samples, such as red blood cells and bacteria, and cate-gorized into Cells and Filaments groups. For each scene, two types of image data structures are provided: 51 x 51 Elemen-tal Images (EIs) representing Densely Sampled Light Fields (DSLF) and 201 images composing Z-Scans of the scenes. Auxiliary data also includes information about camera intrin-sic and extrinsic calibration parameters, object descriptions, and MATLAB scripts for camera pose compensation. The im-ages have been generated using Blender. The dataset can be used to develop and assess methods for volumetric recon-struction from Light Field (LF) images captured by a FLMic.(c) 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )