Back

Nanoscale rheological heterogeneity revealed by Single Particle orientation Tracking (SPoT) of ultrashort carbon nanotubes in brain tissue

Ruan, L.; Manko, H.; Gresil, Q.; Aleman-Castaneda, L. A.; Meras, M.; Sebastian, F.; Flavel, B.; Zaumseil, J.; Groc, L.; Brasselet, S.; Tondusson, M.; Cognet, L.

2026-05-07 biophysics
10.64898/2026.05.04.721587 bioRxiv
Show abstract

Transport in complex biological tissues is governed by local rheological heterogeneity at the nanoscale, yet probing such environments deep inside living systems remains challenging. Here, we introduce an orientation-sensitive single-particle tracking (SPoT) approach that simultaneously resolves translational and rotational dynamics of individual carbon nanotubes deep within biological tissue. By exploiting the intrinsic dipole-like emission and shortwave infrared luminescence of carbon nanotubes enhanced through the incorporation of quantum color-centers our method enables long-duration tracking with high signal-to-noise ratio in optically dense environments. Crucially, the length of these nanotubes can be precisely shortened down to a few tens of nanometers to adapt to diffusion environmental dimensions, further optimizing the tracking applicability. SPoT of single carbon nanotubes provides access to relative changes in local viscosity, steric constraints, and environmental anisotropy. When applied to the brain extracellular space, SPoT demonstrates that local variations in the translational and rotational diffusion of tracers are heterogeneous and not systematically correlated. This allows to disentangle the local effects of viscosity and spatial tortuosity within the brain extracellular space, which are distinct features that would otherwise remain undetected through translational diffusion analysis alone. By enabling combined translational and rotational tracking of nano-emitters over unprecedented depths and timescales, this work establishes a new framework for probing nanoscale transport and rheological heterogeneity in intact biological tissues and more generally in complex diffusive environments.

Matching journals

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

1
ACS Nano
99 papers in training set
Top 0.1%
18.3%
2
Nano Letters
63 papers in training set
Top 0.1%
17.1%
3
Journal of the American Chemical Society
199 papers in training set
Top 0.8%
8.2%
4
Nature Communications
4913 papers in training set
Top 31%
6.2%
5
Nature Nanotechnology
30 papers in training set
Top 0.2%
4.7%
50% of probability mass above
6
Advanced Materials
53 papers in training set
Top 0.8%
3.5%
7
Advanced Science
249 papers in training set
Top 6%
3.5%
8
ACS Central Science
66 papers in training set
Top 0.7%
2.5%
9
Angewandte Chemie International Edition
81 papers in training set
Top 1%
2.5%
10
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 29%
2.0%
11
Small Methods
26 papers in training set
Top 0.3%
2.0%
12
Science Advances
1098 papers in training set
Top 16%
1.7%
13
Optica
25 papers in training set
Top 0.5%
1.7%
14
Nature Methods
336 papers in training set
Top 4%
1.7%
15
The Journal of Physical Chemistry Letters
58 papers in training set
Top 0.9%
1.7%
16
eLife
5422 papers in training set
Top 43%
1.7%
17
Small
70 papers in training set
Top 0.6%
1.5%
18
Nature Physics
39 papers in training set
Top 0.8%
1.3%
19
Nature Biotechnology
147 papers in training set
Top 6%
1.2%
20
Nature Chemistry
34 papers in training set
Top 0.6%
1.2%
21
Nucleic Acids Research
1128 papers in training set
Top 15%
0.9%
22
ACS Photonics
13 papers in training set
Top 0.4%
0.9%
23
Biophysical Journal
545 papers in training set
Top 4%
0.9%
24
The Journal of Physical Chemistry B
158 papers in training set
Top 2%
0.8%
25
Chemical Science
71 papers in training set
Top 2%
0.8%
26
Biophysical Reports
36 papers in training set
Top 0.5%
0.8%
27
Communications Biology
886 papers in training set
Top 27%
0.7%
28
Lab on a Chip
88 papers in training set
Top 1%
0.6%