Université Grenoble Alpes, Grenoble, France, Commissariat À l'Énergie Atomique et Aux Énergies Alternatives, Laboratoire d'Électronique et de Technologie de l'Information, Grenoble, France, Laboratoire Hubert Curien, Université Jean Monnet, Saint-Étienne, France, Commissariat À l'Énergie Atomique et Aux Énergies Alternatives, Institut de Biosciences et Biotechnologies de Grenoble, Grenoble, France, Institut National de la Santé et de la Recherche Médicale, U1038, Grenoble, France

We propose a three-dimensional (3D) imaging platform based on lens-free microscopy to perform multiangle acquisitions on 3D cell cultures embedded in extracellular matrices. Lens-free microscopy acquisitions present some inherent issues such as the lack of phase information on the sensor plane and a limited angular coverage. We developed and compared three different algorithms based on the Fourier diffraction theorem to obtain fully 3D reconstructions. These algorithms present an increasing complexity associated with a better reconstruction quality. Two of them are based on a regularized inverse problem approach. To compare the reconstruction methods in terms of artefact reduction, signal-to-noise ratio, and computation time, we tested them on two experimental datasets: An endothelial cell culture and a prostate cell culture grown in a 3D extracellular matrix with large reconstructed volumes up to ?5 mm3 with a resolution sufficient to resolve isolated single cells. The lens-free reconstructions compare well with standard microscopy. © 2017 Optical Society of America.

Cells, Cytology, Endothelial cells, Inverse problems, Matrix algebra, Repair, Signal to noise ratio, Comparative studies, Extracellular matrices, Fourier diffraction theorems, Fully 3D reconstruction, Reconstruction method, Reconstruction quality, Three dimensional (3-D) imaging, Three-dimensional reconstruction, Cell culture