Back

Active microrheology with a single, time-shared laser trap

Catala-Castro, F.; Ortiz-Vasquez, S.; Martinez-Fernandez, C.; Pezzano, F.; Garcia-Cabau, C.; Jimenez-Delgado, S.; Salvatella, X.; Ruprecht, V.; Frigeri, P. A.; Krieg, M.

2023-10-20 biophysics
10.1101/2023.10.17.562595 bioRxiv
Show abstract

Recording the mechanical response of biological samples, the cells interior and complex fluids in general, would enable deeper understanding of cellular differentiation, ageing and drug discovery. Here, we present a time-shared optical tweezer microrheology (TimSOM) pipeline to determine the frequency- and age-dependent viscoelastic properties of biological materials. Our approach consists in splitting a single laser beam into two near-instantaneous time-shared optical traps to carry out simultaneous force and displacement measurements with sub-nanometer and sub-picoNewton accuracy during sinusoidal perturbations. Leveraging numerical and analytical models, we find solutions to commonly encountered deviations, to build a practical and robust nanorheometer. We demonstrate the versatility of the technique by 1) measuring the phase transitions of an ageing biomolecular condensate, 2) quantifying the complex viscoelastic properties of three intracellular compartments of zebrafish progenitor cells, and, 3) using Caenorhabditis elegans, we uncover how mutations causing nuclear envelopathies soften the cytosol of intestinal cells during organismal age. Together, our advances afford rapid phenotyping of material properties inside cells and proteins blends, opening avenues for biomedical and drug screening applications.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Small
○ 78 papers in training set
Top 0.1%
9.6%
Similar papers in this journal
2
Nature Communications
○ 5641 papers in training set
Top 18%
9.6%
Similar papers in this journal
3
eLife
● 5828 papers in training set
Top 14%
7.8%
Similar papers in this journal
4
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 5%
7.8%
Similar papers in this journal
5
Science Advances
● 1243 papers in training set
Top 4%
5.5%
Similar papers in this journal
6
Advanced Materials
○ 56 papers in training set
Top 0.3%
4.3%
7
Biophysical Journal
○ 631 papers in training set
Top 2%
4.0%
8
Acta Biomaterialia
○ 92 papers in training set
Top 0.5%
3.2%
50% of probability mass above
9
Nature Physics
○ 45 papers in training set
Top 0.2%
3.2%
10
ACS Nano
● 113 papers in training set
Top 0.7%
3.2%
11
Physical Review Letters
● 47 papers in training set
Top 0.2%
3.2%
12
Nature Materials
○ 28 papers in training set
Top 0.2%
2.7%
13
Advanced Science
○ 286 papers in training set
Top 3%
2.6%
14
Soft Matter
● 60 papers in training set
Top 0.4%
2.1%
15
Journal of The Royal Society Interface
● 235 papers in training set
Top 2%
2.1%
16
Nano Letters
● 71 papers in training set
Top 0.6%
2.1%
17
Physical Review Research
● 49 papers in training set
Top 0.4%
2.1%
18
Journal of the American Chemical Society
● 217 papers in training set
Top 2%
1.7%
19
Communications Biology
○ 993 papers in training set
Top 17%
1.5%
20
Small Methods
○ 29 papers in training set
Top 0.4%
1.3%
21
Biophysical Reports
○ 37 papers in training set
Top 0.3%
1.1%
22
Cell Reports Physical Science
○ 19 papers in training set
Top 0.1%
1.1%
23
PNAS Nexus
◐ 159 papers in training set
Top 2%
1.1%
24
Development
● 497 papers in training set
Top 4%
1.1%
25
Scientific Reports
○ 3612 papers in training set
Top 68%
1.0%
26
PRX Life
● 42 papers in training set
Top 0.8%
0.9%
27
Nature Methods
○ 385 papers in training set
Top 7%
0.8%
28
Angewandte Chemie International Edition
○ 93 papers in training set
Top 2%
0.8%
29
Advanced Functional Materials
○ 46 papers in training set
Top 1%
0.8%
30
Journal of Molecular Biology
○ 232 papers in training set
Top 5%
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.