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Three-dimensional super-resolution imaging with suppressed background via digital array modulation microscopy

delete2026-03-26
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PRE
AI
R
Rui Jin
M
Mengqi Lu
N
Ning Zhang
M
Meng Zhang
Y
Yunfei Wei
Z
Zhang Zhan
S
Shirui Guo
张玉辉 cover
张玉辉 (Yuhui Zhang)
F
Fengchao Wang
H
Hui Gong
Z
Z. Luo *
袁晶 cover
袁晶 (Jing Yuan) *
DOI:10.1038/s41566-026-01869-4delete
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Abstract

Abstract

En 中文
Despite its proven value for biomedical research, super-resolution structured illumination microscopy still faces challenges in both fidelity of image reconstruction and imaging speed. Substantial background interference introduces artefacts and degrades resolution, while computationally intensive image reconstruction and illumination pattern switching limit imaging throughput. Here we present digital array modulation microscopy (DaMo), which combines digital array modulation with a single-spectrum reconstruction algorithm. Gaussian illumination modulation combined with digital detection modulation enables heterodyne detection with a 100% contrast. Therefore, DaMo achieves high-fidelity reconstruction (Pearson correlation coefficient 0.99 ± 0.01) under substantial background interference, with a 102× faster reconstruction speed than state-of-the-art super-resolution structured illumination microscopy processing. DaMo offers an axial resolution of 300 nm and a lateral resolution of 100 nm while achieving a 1,284-fold improvement in the signal-to-background ratio in whole-cell three-dimensional imaging. DaMo operates without additional modulators or extra image enhancement, providing artefact-free precision with a streamlined workflow. We demonstrate the versatility of DaMo via quantitative live-cell imaging of actin dynamics, tracking of cascaded filopodia fusion events, multicolour whole-smear imaging for cell cycle profiling, and tissue pathology assessment of intestinal epithelial injury in mitochondria. DaMo paves the way for large-scale, background-suppressed super-resolution imaging across diverse biological systems. Digital array modulation microscopy uses natural Gaussian illumination and virtual detection modulation, together with a single-spectrum reconstruction algorithm, for three-dimensional super-resolution imaging with 300-nm and 100-nm axial and lateral resolution, respectively.
Keywords:
Fluorescence imaging
Super-resolution microscopy
Physics
general
Applied and Technical Physics
Quantum Physics

Journal

Nature Photonics cover
Nature Photonics
IF:
32.9
Papers:
4.3K
Citations:
6.1W

Organization

T
Third Military Medical University
Scholars:
594
Papers: 118
Citations: 0
H
huazhong university of science and technology
Scholars:
2.5W
Papers: 7.5K
Citations: 5