Photonic chip-based multimodal super-resolution microscopy for histopathological assessment of cryopreserved tissue sections

Autor: Luis E. Villegas-Hernández, Firehun Tsige Dullo, Urs Ziegler, Kristin A. Fenton, Aud-Malin Karlsson Hovd, Ganesh Acharya, José María Mateos, Mona Nystad, Jean-Claude Tinguely, Anish Priyadarshi, Sebastian Acuña, Krishna Agarwal, Dubey, Gery Barmettler, David A. Coucheron, Balpreet Singh Ahluwalia
Rok vydání: 2021
Předmět:
DOI: 10.21203/rs.3.rs-500460/v1
Popis: Histopathological assessment involves the identification of anatomical variations in tissues that are associated with diseases. While diffraction-limited optical microscopes assist in the diagnosis of a wide variety of pathologies, their resolving capabilities are insufficient to visualize some anomalies at subcellular level. Although a novel set of super-resolution optical microscopy techniques can fulfill the resolution demands in such cases, the system complexity, high operating cost, lack of multimodality, and low-throughput imaging of these methods limit their wide adoption in clinical settings. In this study, we interrogate the photonic chip as an attractive high-throughput super-resolution microscopy platform for histopathology. Using cryopreserved ultrathin tissue sections of human placenta, mouse kidney, and zebrafish eye retina prepared by the Tokuyasu method, we validate the photonic chip as a multi-modal imaging tool for histo-anatomical analysis. We demonstrate that photonic-chip platform can deliver multi-modal imaging capabilities such as total internal reflection fluorescence microscopy, intensity fluctuation-based optical nanoscopy, single-molecule localization microscopy, and correlative light-electron microscopy. Our results demonstrate that the photonic chip-based super-resolution microscopy platform has the potential to deliver high-throughput multimodal histopathological analysis of cryopreserved tissue samples.
Databáze: OpenAIRE