Photonic-chip assisted correlative light and electron microscopy

TL;DR

This paper introduces a photonic-chip based method for correlative light and electron microscopy that enables large field of view, high-precision localization, and 3D structural analysis of biological samples, improving upon traditional CLEM techniques.

Contribution

The authors develop a novel photonic chip platform with integrated landmarks for multi-modal, high-resolution, large-area correlative microscopy, including TIRF, dSTORM, and FIB-SEM.

Findings

Enables high-precision localization within large fields of view.

Allows 3D structural analysis of cellular features.

Facilitates tracking and correlation of specific cellular compartments.

Abstract

Correlative light-electron microscopy (CLEM) unifies the versatility of light microscopy (LM) with the high resolution of electron microscopy (EM), allowing one to zoom into the complex organization of cells. Most CLEM techniques use ultrathin sections, and thus lack the 3D-EM structural information, and focusing on a very restricted field of view. Here, we introduce photonic chip assisted CLEM, enabling multi-modal total internal reflection fluorescence (TIRF) microscopy over large field of view and high precision localization of the target area of interest within EM. The chip-based direct stochastic optical reconstruction microscopy (dSTORM), and 3D high precision correlation of biological processes by focused ion beam-scanning electron microscopy (FIB-SEM) is further demonstrated. The core layer of the photonic chips are used as a substrate to hold, to illuminate and the cladding layer is used to enable high-precision landmarking of the sample through specially designed grid-like numbering systems. The landmarks are fabricated on the cladding of the photonic chips as extruding pillars from the waveguide surface, thus remaining visible for FIB-SEM after resin embedding during sample processing. Using this approach we demonstrate its applicability for tracking the area of interest, imaging the 3D structural organization of nano-sized morphological features on liver sinusoidal endothelial cells such as fenestrations, and correlating specific endo-lysosomal compartments with its cargo protein upon endocytosis. We envisage that photonic chip equipped with landmarks can be used in the future to automatize the work-flow for both LM and EM for high-throughput CLEM, providing the resolution needed for insights into the complex intracellular communication and the relation between morphology and function in health and disease.