Serial intravital 2-photon microscopy and analysis of the kidney using upright microscopes

Front Physiol. 2023 Apr 24:14:1176409. doi: 10.3389/fphys.2023.1176409. eCollection 2023.

Abstract

Serial intravital 2-photon microscopy of the kidney and other abdominal organs is a powerful technique to assess tissue function and structure simultaneously and over time. Thus, serial intravital microscopy can capture dynamic tissue changes during health and disease and holds great potential to characterize (patho-) physiological processes with subcellular resolution. However, successful image acquisition and analysis require significant expertise and impose multiple potential challenges. Abdominal organs are rhythmically displaced by breathing movements which hamper high-resolution imaging. Traditionally, kidney intravital imaging is performed on inverted microscopes where breathing movements are partly compensated by the weight of the animal pressing down. Here, we present a custom and easy-to-implement setup for intravital imaging of the kidney and other abdominal organs on upright microscopes. Furthermore, we provide image processing protocols and a new plugin for the free image analysis software FIJI to process multichannel fluorescence microscopy data. The proposed image processing pipelines cover multiple image denoising algorithms, sample drift correction using 2D registration, and alignment of serial imaging data collected over several weeks using landmark-based 3D registration. The provided tools aim to lower the barrier of entry to intravital microscopy of the kidney and are readily applicable by biomedical practitioners.

Keywords: 3D printing; animal holder; bioimage analysis; deep learning; image denoising; image registration; intravital microscopy (IVM); multiphoton microcopy.

Grants and funding

This work was funded by a Novo Nordisk Hallas Møller Emerging Investigator award (NNF19OC0054899), a AUFF starting grant (AUFF-E-201 9-7-21) and the Danish National Research Foundation center grant CellPAT (DNRF135).