Back

Balancing performance and complexity of dual-wedge prism-based spectroscopic single-molecule localization microscopy

Yeo, W.-H.; Shi, M.; Sun, C.; Zhang, H. F.

2026-08-07 bioengineering
10.64898/2026.08.06.743389 bioRxiv
Show abstract

Spectroscopic single-molecule localization microscopy (sSMLM) enables multiplexed super-resolution imaging by simultaneously acquiring the spatial position and spectral information of individual fluorophores. Dual-wedge prism (DWP)-based implementations provide a compact, alignment-stable approach to spectral dispersion, but trade-offs between localization precision, spectral precision, and experimental complexity remain. We systematically compare five DWP-based sSMLM configurations, including two-dimensional (2D) and three-dimensional (3D) implementations using single DWP (DWP-sSMLM) and symmetrically-dispersed DWP (SDDWP-sSMLM). We evaluate lateral precision, spectral precision, and ease of use. SDDWP configurations acquire spectral images in both channels and utilize both for spatial localization, yielding the highest lateral and spectral precision. However, for applications that do not require axial information, 2D-DWP provides a simple, plug-and-play solution with robust performance. This work offers a guideline for selecting DWP configurations based on experimental needs.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Biomedical Optics Express
● 95 papers in training set
Top 0.1%
21.4%
Similar papers in this journal
2
Optics Express
● 26 papers in training set
Top 0.1%
11.6%
Similar papers in this journal
3
Optica
● 27 papers in training set
Top 0.1%
7.7%
Similar papers in this journal
4
Light: Science & Applications
○ 16 papers in training set
Top 0.1%
5.4%
Similar papers in this journal
5
ACS Photonics
● 13 papers in training set
Top 0.1%
5.0%
Similar papers in this journal
50% of probability mass above
6
Journal of Biomedical Optics
● 28 papers in training set
Top 0.1%
4.7%
7
Photoacoustics
○ 12 papers in training set
Top 0.1%
4.2%
8
Nature Communications
○ 5641 papers in training set
Top 31%
4.2%
9
Scientific Reports
○ 3612 papers in training set
Top 26%
3.9%
10
npj Imaging
○ 12 papers in training set
Top 0.1%
3.4%
11
Neurophotonics
● 42 papers in training set
Top 0.2%
2.3%
12
Optics Letters
● 13 papers in training set
Top 0.1%
1.7%
13
Advanced Intelligent Systems
○ 11 papers in training set
Top 0.1%
1.5%
14
The Analyst
● 16 papers in training set
Top 0.2%
1.5%
15
Communications Biology
○ 993 papers in training set
Top 19%
1.3%
16
PLOS ONE
● 5266 papers in training set
Top 51%
1.3%
17
Nature Photonics
○ 10 papers in training set
Top 0.1%
1.3%
18
Nature Methods
○ 385 papers in training set
Top 5%
1.3%
19
Journal of Microscopy
○ 20 papers in training set
Top 0.2%
1.1%
20
Analytical Chemistry
● 218 papers in training set
Top 2%
1.1%
21
Biophysical Reports
○ 37 papers in training set
Top 0.4%
1.0%
22
Advanced Science
○ 286 papers in training set
Top 8%
1.0%
23
ACS Nano
● 113 papers in training set
Top 2%
0.8%
24
Biosensors and Bioelectronics
○ 57 papers in training set
Top 0.8%
0.8%
25
ACS Sensors
● 49 papers in training set
Top 0.8%
0.8%
26
eLife
● 5828 papers in training set
Top 71%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.