Dense, continuous membrane labeling and expansion microscopy visualization of ultrastructure in tissues

T Tay Won Shin H Hao Wang (Division of Quantitative Sciences, Department of Oncology Johns Hopkins University School of Medicine Baltimore Maryland USA) C Chi Zhang B Bobae An Y Yangning Lu E Elizabeth Zhang (Department of Chemical Engineering) X Xiaotang Lu E Emmanouil D. Karagiannis J Jeong Seuk Kang A Amauche Emenari P Panagiotis Symvoulidis S Shoh Asano L Leanne Lin E Emma K. Costa A Adam H. Marblestone N Narayanan Kasthuri (Department of Neurobiology, University of Chicago) L Li-Huei Tsai E Edward S. Boyden

Abstract

Abstract Lipid membranes are key to the nanoscale compartmentalization of biological systems, but fluorescent visualization of them in intact tissues, with nanoscale precision, is challenging to do with high labeling density. Here, we report ultrastructural membrane expansion microscopy (umExM), which combines an innovative membrane label and optimized expansion microscopy protocol, to support dense labeling of membranes in tissues for nanoscale visualization. We validate the high signal-to-background ratio, and uniformity and continuity, of umExM membrane labeling in brain slices, which supports the imaging of membranes and proteins at a resolution of ~60 nm on a confocal microscope. We demonstrate the utility of umExM for the segmentation and tracing of neuronal processes, such as axons, in mouse brain tissue. Combining umExM with optical fluctuation imaging, or iterating the expansion process, yields ~35 nm resolution imaging, pointing towards the potential for electron microscopy resolution visualization of brain membranes on ordinary light microscopes.

Article Details

Volume / Issue Vol. 16, Issue 1
Published February 12, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (18)

T

Tay Won Shin

H

Hao Wang

Division of Quantitative Sciences, Department of Oncology Johns Hopkins University School of Medicine Baltimore Maryland USA

C

Chi Zhang

B

Bobae An

Y

Yangning Lu

E

Elizabeth Zhang

Department of Chemical Engineering

X

Xiaotang Lu

E

Emmanouil D. Karagiannis

J

Jeong Seuk Kang

A

Amauche Emenari

P

Panagiotis Symvoulidis

S

Shoh Asano

L

Leanne Lin

E

Emma K. Costa

A

Adam H. Marblestone

N

Narayanan Kasthuri

Department of Neurobiology, University of Chicago

L

Li-Huei Tsai

E

Edward S. Boyden