pith. sign in

arxiv: 2604.19552 · v1 · submitted 2026-04-21 · ❄️ cond-mat.soft

Hydrodynamic capture and release of a microswimmer by a meniscus corner

Pith reviewed 2026-05-10 01:29 UTC · model grok-4.3

classification ❄️ cond-mat.soft
keywords microswimmershydrodynamic interactionsmeniscus corneractive dropletslow Reynolds numberswimming trajectoriesmicrochannelviscosity ratio
0
0 comments X

The pith

Pusher microswimmers are attracted to, transiently trapped at, and then released from a meniscus corner by hydrodynamic interactions that scale with swimmer strength.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper examines how microswimmers navigate corner geometries created by a meniscus inside a microchannel at low Reynolds number. Experiments, theory, and simulations with active droplet models demonstrate that pusher-type swimmers approach the corner, become temporarily trapped, and then escape, with the entire sequence controlled by hydrodynamic forces from the wall-interface junction. These forces produce attraction or release depending on the swimmer's propulsion strength, while the trajectory itself can be adjusted by changing swimmer type, corner shape, or the viscosity ratio across the interface. Biological microswimmers routinely encounter similar corners in natural environments, so mapping the hydrodynamic rules offers a route to predict or direct their paths without external fields or chemical gradients.

Core claim

Combining experiments, theory and simulations, we show that pusher-type microswimmers are attracted towards a meniscus corner, followed by transient trapping and eventual escape. We demonstrate that hydrodynamic interactions with the wall-interface corner intimately dictate the attraction and trapping or escape of the microswimmer on the basis of its strength. We show that the swimming trajectory at the meniscus corner can be tuned depending on the type of the microswimmer, the corner geometry and the viscosity ratio for the liquid interface.

What carries the argument

Hydrodynamic interactions between the microswimmer and the wall-interface corner, which produce strength-dependent attraction, transient trapping, and release.

If this is right

  • Pusher microswimmers follow strength-dependent paths of attraction, temporary capture, and escape at the corner.
  • Altering corner geometry or the viscosity ratio across the interface allows tuning of the swimmer's trajectory and escape timing.
  • Different microswimmer types (pushers versus pullers) produce qualitatively distinct behaviors near the same corner.
  • Hydrodynamic effects alone are sufficient to manipulate microswimmer motion in confined geometries.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same corner mechanism may help explain how bacteria or sperm navigate porous biological tissues or soil pores.
  • Microfluidic channels with controlled menisci could be used to sort or temporarily hold microswimmers by strength or type.
  • Varying the interface viscosity ratio might switch a device between trapping and free-passage modes for active particles.
  • The transient trapping phase offers a hydrodynamic way to pause swimmers without physical barriers or external fields.

Load-bearing premise

The observed capture and release arise purely from hydrodynamics and that active droplet microswimmers serve as accurate proxies for biological microswimmers without other forces such as electrostatic or chemical effects playing a significant role.

What would settle it

Finding that pusher microswimmers remain permanently trapped or show no escape dependence on propulsion strength when the meniscus corner is present, or that changing the viscosity ratio across the interface leaves trajectories unchanged.

Figures

Figures reproduced from arXiv: 2604.19552 by Harshita Tiwari, Ranabir Dey, Subhasish Guchhait, Sumesh P. Thampi.

Figure 1
Figure 1. Figure 1: FIG. 1. Dynamics of a self-propelling active droplet near a [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. Flow fields generated by the active droplet (repre [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Predictions of the hydrodynamic model. Comparison [PITH_FULL_IMAGE:figures/full_fig_p003_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. State diagrams for the trajectory types at [PITH_FULL_IMAGE:figures/full_fig_p005_4.png] view at source ↗
read the original abstract

Biological microswimmers alter their motility in complex corner geometries, facilitating their survival. However, the dynamical features of low-Reynolds-number swimming at corners remain undefined. Here, we use active droplet microswimmers near a confined meniscus in a microchannel as a model system to study how microswimmer-corner interactions determine swimming patterns. Combining experiments, theory and simulations, we show that pusher-type micrsowimmers are attracted towards a meniscus corner, followed by transient trapping and eventual escape. We demonstrate that hydrodynamic interactions with the wall-interface corner intimately dictate the attraction and trapping or escape of the microswimmer on the basis of its strength. We show that the swimming trajectory at the meniscus corner can be tuned depending on the type of the microswimmer, the corner geometry and the viscosity ratio for the liquid interface. Our study provides a simple way to manipulate microswimmers by exploiting their hydrodynamic interactions near corner geometries.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript studies pusher-type active droplet microswimmers near a confined meniscus corner in a microchannel. Combining experiments, theory, and simulations, it claims that hydrodynamic interactions with the wall-interface corner dictate attraction to the corner, transient trapping, and eventual escape, with the dynamics set by swimmer strength; trajectories can be tuned via swimmer type, corner geometry, and viscosity ratio.

Significance. The work addresses a gap in low-Re swimming at corners, relevant to biological microswimmers in complex geometries. The multi-method approach (experiments + theory + simulations) is a strength and supports falsifiable predictions. If the hydrodynamic mechanism is cleanly isolated, the result offers a practical route to manipulate microswimmers via corner geometry and viscosity ratio.

major comments (2)
  1. [Experimental methods and results] Experimental section: the claim that hydrodynamics 'intimately dictate' attraction, trapping, and escape (abstract and results) rests on active droplets whose propulsion involves surfactant gradients. No controls (e.g., surfactant titration, interface charge, or Marangoni stress measurements) are described to exclude phoretic or tangential-stress contributions that could alter trajectories or trapping times. This is load-bearing for the generality to biological microswimmers.
  2. [Theory and simulations] Theory and simulations section: the model treats the swimmer as an ideal pusher with prescribed strength and viscosity ratio. A quantitative, side-by-side comparison of simulated vs. experimental trajectories (including error bars, trapping-time statistics, and goodness-of-fit) is required to confirm that the hydrodynamic corner interaction dominates over any unmodeled physico-chemical effects.
minor comments (2)
  1. [Abstract] Abstract: 'micrsowimmers' is a typographical error.
  2. [Figures and captions] Figure captions and text should explicitly state the number of experimental realizations and the definition of 'swimmer strength' used for the strength-dependent escape criterion.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive and detailed comments, which help clarify the scope and robustness of our claims. We address each major point below and will revise the manuscript to incorporate additional discussion, references, and quantitative comparisons as outlined.

read point-by-point responses
  1. Referee: [Experimental methods and results] Experimental section: the claim that hydrodynamics 'intimately dictate' attraction, trapping, and escape (abstract and results) rests on active droplets whose propulsion involves surfactant gradients. No controls (e.g., surfactant titration, interface charge, or Marangoni stress measurements) are described to exclude phoretic or tangential-stress contributions that could alter trajectories or trapping times. This is load-bearing for the generality to biological microswimmers.

    Authors: We agree that isolating the hydrodynamic contribution is important for extending the results to biological microswimmers. Our droplets are established pusher swimmers whose propulsion is driven by localized Marangoni stresses, yet the long-range interactions with the corner are captured by the hydrodynamic model. In the revision we will (i) add citations to our prior characterizations of these droplets demonstrating that phoretic drift is negligible away from the immediate surfactant source, (ii) include a short discussion of scale separation (surfactant gradients decay rapidly compared with the hydrodynamic length scales set by the corner), and (iii) tone down the phrasing in the abstract and results from “intimately dictate” to “primarily govern via hydrodynamics.” New surfactant-titration experiments are not immediately available, but the existing agreement between the purely hydrodynamic simulations and the measured trajectories provides supporting evidence; we will make this comparison more explicit as requested in the second comment. revision: partial

  2. Referee: [Theory and simulations] Theory and simulations section: the model treats the swimmer as an ideal pusher with prescribed strength and viscosity ratio. A quantitative, side-by-side comparison of simulated vs. experimental trajectories (including error bars, trapping-time statistics, and goodness-of-fit) is required to confirm that the hydrodynamic corner interaction dominates over any unmodeled physico-chemical effects.

    Authors: We fully concur that a quantitative validation is needed. In the revised manuscript we will add a dedicated comparison figure that overlays representative experimental trajectories with the corresponding simulated paths, including shaded regions for experimental standard deviation obtained from repeated trials. We will also report trapping-time distributions (mean and variance) for both experiment and simulation and compute a goodness-of-fit metric (root-mean-square deviation between paths). These additions will directly test whether the hydrodynamic corner interaction accounts for the observed attraction, residence time, and escape, thereby addressing the concern about unmodeled physico-chemical contributions. revision: yes

Circularity Check

0 steps flagged

No circularity: derivation combines independent experiment, theory, and simulation

full rationale

The abstract and context describe a multi-method approach (experiments + theory + simulations) showing hydrodynamic corner interactions dictate attraction/trapping/escape for pusher microswimmers. No quoted equations or steps reduce a prediction to a fitted input by construction, nor does any load-bearing claim rest on self-citation chains or ansatz smuggling. The central result is framed as emerging from the combined methods rather than tautological redefinition of inputs. This is the expected non-finding for a paper whose claims are externally falsifiable via the reported experiments.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

Central claim rests on standard low-Re hydrodynamics (Stokes regime) and the assumption that active droplets behave as pusher-type swimmers whose far-field flows dominate interactions; no new entities or heavily fitted parameters are introduced in the abstract.

axioms (1)
  • standard math Low Reynolds number regime where inertial forces are negligible compared to viscous forces
    Invoked implicitly for all microswimmer hydrodynamics in the abstract.

pith-pipeline@v0.9.0 · 5470 in / 1191 out tokens · 30778 ms · 2026-05-10T01:29:23.815229+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

66 extracted references · 1 canonical work pages

  1. [1]

    Denissenko, V

    P. Denissenko, V. Kantsler, D. J. Smith, and J. Kirkman- Brown, Human spermatozoa migration in microchan- nels reveals boundary-following navigation, Proceedings of the National Academy of Sciences109, 8007 (2012)

  2. [2]

    Nosrati, P

    R. Nosrati, P. Graham, Q. Liu, and D. Sinton, Predom- inance of sperm motion in corners, Scientific Reports6, 26669 (2016)

  3. [3]

    J. Q. Yang, J. E. Sanfilippo, N. Abbasi, Z. Gitai, B. L. Bassler, and H. A. Stone, Evidence for biosurfactant- induced flow in corners and bacterial spreading in un- saturated porous media, Proceedings of the National Academy of Sciences118, e2111060118 (2021)

  4. [4]

    Y. Li, J. Sanfilippo, D. Kearns, and J. Yang, Corner flows induced by surfactant-producing bacteria bacillus subtilis and pseudomonas fluorescens, Microbiology spectrum10, e0323322 (2022)

  5. [5]

    J. Yang, T. Isaka, K. Kikuchi, K. Numayama-Tsuruta, and T. Ishikawa, Bacterial accumulation in intestinal folds induced by physical and biological factors, BMC Biology22(2024)

  6. [6]

    Scheidweiler, A

    D. Scheidweiler, A. Bordoloi, W. Jiao, V. Sentchilo, M. Bollani, A. Chhun, P. Engel, and P. Anna, Spatial structure, chemotaxis and quorum sensing shape bacte- rial biomass accumulation in complex porous media, Na- ture Communications15(2024)

  7. [7]

    P´ erez-Estay, M

    B. P´ erez-Estay, M. L. Cordero, N. Sep´ ulveda, and R. Soto, Accumulation and depletion of e. coli in sur- faces mediated by curvature, Phys. Rev. E109, 054601 (2024)

  8. [8]

    Di Leonardo, D

    R. Di Leonardo, D. Dell’Arciprete, L. Angelani, and V. Iebba, Swimming with an image, Phys. Rev. Lett. 106, 038101 (2011)

  9. [9]

    Raveshi, M

    M. Raveshi, M. S. Abdul Halim, S. Agnihotri, M. O’Bryan, A. Neild, and R. Nosrati, Curvature in the reproductive tract alters sperm-surface interactions, Na- ture Communications12, 1234567890 (2021)

  10. [10]

    Tuval, L

    I. Tuval, L. Cisneros, C. Dombrowski, C. W. Wolgemuth, J. O. Kessler, and R. E. Goldstein, Bacterial swimming and oxygen transport near contact lines, Proceedings of the National Academy of Sciences102, 2277 (2005)

  11. [11]

    A. Pal, A. Sengupta, and M. Yanagisawa, Role of motil- ity and nutrient availability in drying patterns of algal droplets, Scientific Reports14(2024)

  12. [12]

    Marra, M

    D. Marra, M. Rizzo, and S. Caserta, Microfluidics un- veils role of gravity and shear stress on pseudomonas flu- orescens motility and biofilm growth, npj Biofilms and Microbiomes11, 122 (2025)

  13. [13]

    Krsmanovic, D

    M. Krsmanovic, D. Biswas, H. Ali, A. Kumar, R. Ghosh, and A. K. Dickerson, Hydrodynamics and surface prop- erties influence biofilm proliferation, Advances in Colloid and Interface Science288, 102336 (2021)

  14. [14]

    Medina-S´ anchez, H

    M. Medina-S´ anchez, H. Xu, and O. G. Schmidt, Micro- and nano-motors: the new generation of drug carriers, Therapeutic delivery9, 303 (2018)

  15. [15]

    R. Lin, W. Yu, X. Chen, and H. Gao, Self-propelled mi- cro/nanomotors for tumor targeting delivery and ther- apy, Advanced Healthcare Materials10, 2001212 (2021)

  16. [16]

    A. P. Berke, L. Turner, H. C. Berg, and E. Lauga, Hy- drodynamic attraction of swimming microorganisms by surfaces, Physical Review Letters101, 038102 (2008)

  17. [17]

    Kantsler, J

    V. Kantsler, J. Dunkel, M. Polin, and R. E. Goldstein, Ciliary contact interactions dominate surface scattering of swimming eukaryotes, Proceedings of the National Academy of Sciences110, 1187 (2013)

  18. [18]

    Bolitho, R

    A. Bolitho, R. Singh, and R. Adhikari, Periodic orbits of active particles induced by hydrodynamic monopoles, Physical Review Letters124, 088003 (2020)

  19. [19]

    P. H. Htet, D. Das, and E. Lauga, Hydrodynamic hover- ing of swimming bacteria above surfaces, Physical Review Research6, L032070 (2024)

  20. [20]

    Lauga, W

    E. Lauga, W. R. DiLuzio, G. M. Whitesides, and H. A. Stone, Swimming in circles: motion of bacteria near solid boundaries, Biophysical journal90, 400 (2006)

  21. [21]

    S. E. Spagnolie and E. Lauga, Hydrodynamics of self- propulsion near a boundary: predictions and accuracy of far-field approximations, Journal of Fluid Mechanics 700, 105–147 (2012)

  22. [22]

    Ishimoto and E

    K. Ishimoto and E. A. Gaffney, Squirmer dynamics near a boundary, Physical Review E—Statistical, Nonlinear, and Soft Matter Physics88, 062702 (2013)

  23. [23]

    B. N. Radhakrishnan, A. Purushothaman, R. Dey, and S. P. Thampi, Confinement induced three-dimensional trajectories of microswimmers in rectangular channels, Phys. Rev. Fluids9, 083302 (2024)

  24. [24]

    Lopez and E

    D. Lopez and E. Lauga, Dynamics of swimming bacte- ria at complex interfaces, Physics of Fluids26, 071902 (2014)

  25. [25]

    Desai, V

    N. Desai, V. A. Shaik, and A. M. Ardekani, Hydrodynamics-mediated trapping of micro-swimmers near drops, Soft Matter14, 264 (2018)

  26. [26]

    Mishra, H

    R. Mishra, H. Pothukuchi, H. Gidituri, and J. Lintu- vuori, Interface crossing behavior of prolate microswim- mers: Thermo and hydrodynamics, Physical Review Flu- ids11, 014002 (2026)

  27. [27]

    A. R. Sprenger and A. M. Menzel, Microswimming un- der a wedge-shaped confinement, Physics of Fluids35, 123119 (2023)

  28. [28]

    M. B. Wan, C. J. Olson Reichhardt, Z. Nussinov, and C. Reichhardt, Rectification of swimming bacteria and self-driven particle systems by arrays of asymmetric bar- riers, Phys. Rev. Lett.101, 018102 (2008)

  29. [29]

    Y. Hua, K. Li, X. Zhou, L. He, and L. Zhang, An attrac- tion–repulsion transition of force on wedges induced by active particles, Soft Matter14, 5205 (2018)

  30. [30]

    K. Li, G. Fuchen, X. Zhou, X. Wang, L. He, and L. Zhang, An attraction–repulsion transition of force on two asymmetric wedges induced by active particles, Sci- entific Reports10(2020)

  31. [31]

    I. P. Madden and E. Luijten, Microswimmer separation in complex confining geometries, Phys. Rev. E111, 065403 (2025)

  32. [32]

    Golestanian, T

    R. Golestanian, T. Liverpool, and A. Ajdari, Propulsion of a molecular machine by asymmetric distribution of reaction products, Physical Review Letters94, 220801 (2005)

  33. [33]

    J. R. Howse, R. A. Jones, A. J. Ryan, T. Gough, R. Vafabakhsh, and R. Golestanian, Self-motile colloidal 7 particles: from directed propulsion to random walk, Physical Review Letters99, 048102 (2007)

  34. [34]

    J. L. Moran and J. D. Posner, Phoretic self-propulsion, Annual Review of Fluid Mechanics49, 511 (2017)

  35. [35]

    C. C. Maass, C. Kr¨ uger, S. Herminghaus, and C. Bahr, Swimming droplets, Annual Review of Condensed Matter Physics7, 171 (2016)

  36. [36]

    Michelin, Self-Propulsion of Chemically Active Droplets, Annual Review of Fluid Mechanics55, 77 (2023)

    S. Michelin, Self-Propulsion of Chemically Active Droplets, Annual Review of Fluid Mechanics55, 77 (2023)

  37. [37]

    S. Das, A. Garg, A. I. Campbell, J. Howse, A. Sen, D. Velegol, R. Golestanian, and S. J. Ebbens, Boundaries can steer active janus spheres, Nature Communications 6, 8999 (2015)

  38. [38]

    Simmchen, J

    J. Simmchen, J. Katuri, W. E. Uspal, M. N. Popescu, M. Tasinkevych, and S. S´ anchez, Topographical path- ways guide chemical microswimmers, Nature communi- cations7, 10598 (2016)

  39. [39]

    de Blois, M

    C. de Blois, M. Reyssat, S. Michelin, and O. Dauchot, Flow field around a confined active droplet, Physical Re- view Fluids4, 054001 (2019)

  40. [40]

    Ketzetzi, J

    S. Ketzetzi, J. de Graaf, R. P. Doherty, and D. J. Kraft, Slip length dependent propulsion speed of catalytic col- loidal swimmers near walls, Physical Review Letters124, 048002 (2020)

  41. [41]

    Ketzetzi, J

    S. Ketzetzi, J. De Graaf, and D. J. Kraft, Diffusion-based height analysis reveals robust microswimmer-wall separa- tion, Physical Review Letters125, 238001 (2020)

  42. [42]

    C. Jin, J. Vachier, S. Bandyopadhyay, T. Macharashvili, and C. C. Maass, Fine balance of chemotactic and hy- drodynamic torques: When microswimmers orbit a pillar just once, Physical Review E100, 040601 (2019)

  43. [43]

    X. Wang, M. In, C. Blanc, M. Nobili, and A. Stocco, Enhanced active motion of janus colloids at the water surface, Soft Matter11, 7376 (2015)

  44. [44]

    L. S. Palacios, J. Katuri, I. Pagonabarraga, and S. S´ anchez, Guidance of active particles at liquid–liquid interfaces near surfaces, Soft Matter15, 6581 (2019)

  45. [45]

    Sharan, W

    P. Sharan, W. Postek, T. Gemming, P. Garstecki, and J. Simmchen, Study of active janus particles in the pres- ence of an engineered oil–water interface, Langmuir37 (2020)

  46. [46]

    Toyota, N

    T. Toyota, N. Maru, M. M. Hanczyc, T. Ikegami, and T. Sugawara, Self-propelled oil droplets consuming “fuel” surfactant, Journal of the American Chemical Society 131, 5012 (2009)

  47. [47]

    Thutupalli, R

    S. Thutupalli, R. Seemann, and S. Herminghaus, Swarm- ing behavior of simple model squirmers, New Journal of Physics13, 073021 (2011)

  48. [48]

    Peddireddy, P

    K. Peddireddy, P. Kumar, S. Thutupalli, S. Herming- haus, and C. Bahr, Solubilization of thermotropic liquid crystal compounds in aqueous surfactant solutions, Lang- muir28, 12426 (2012)

  49. [49]

    Michelin, E

    S. Michelin, E. Lauga, and D. Bartolo, Spontaneous au- tophoretic motion of isotropic particles, Physics of Fluids 25, 10.1063/1.4810749 (2013)

  50. [50]

    Herminghaus, C

    S. Herminghaus, C. C. Maass, C. Kr¨ uger, S. Thutupalli, L. Goehring, and C. Bahr, Interfacial mechanisms in ac- tive emulsions, Soft Matter10, 7008 (2014)

  51. [51]

    Kim and S

    S. Kim and S. J. Karrila,Microhydrodynamics: Princi- ples and Selected Applications, Butterworth - Heinemann series in chemical engineering (Dover Publications, 2005)

  52. [52]

    J. R. Blake, A note on the image system for a stokeslet in a no-slip boundary, Mathematical Proceedings of the Cambridge Philosophical Society70, 303–310 (1971)

  53. [53]

    J. R. Blake and A. T. Chwang, Fundamental singularities of viscous flow, Journal of Engineering Mathematics8, 23 (1974)

  54. [54]

    Guchhait, S

    S. Guchhait, S. S. Sontakke, S. Mandal, and R. Dey, Flow fields around active droplets squeezing through tight con- finements, Phys. Rev. Fluids10, 044202 (2025)

  55. [55]

    J. R. Blake, A spherical envelope approach to ciliary propulsion, Journal of Fluid Mechanics46, 199 (1971)

  56. [56]

    N. G. Chisholm, D. Legendre, E. Lauga, and A. S. Khair, A squirmer across reynolds numbers, Journal of Fluid Mechanics796, 233–256 (2016)

  57. [57]

    Z¨ ottl and H

    A. Z¨ ottl and H. Stark, Emergent behavior in active col- loids, Journal of Physics: Condensed Matter28, 253001 (2016)

  58. [58]

    Kr¨ uger, H

    T. Kr¨ uger, H. Kusumaatmaja, A. Kuzmin, O. Shardt, G. Silva, and E. M. Viggen, The lattice boltzmann method, Springer International Publishing10, 4 (2017)

  59. [59]

    D. M. Anderson, G. B. McFadden, and A. A. Wheeler, Diffuse-interface methods in fluid mechanics, Annual re- view of fluid mechanics30, 139 (1998)

  60. [60]

    Zhang, J

    S. Zhang, J. Tang, and H. Wu, Phase-field lattice boltz- mann model for two-phase flows with large density ratio, Physical Review E105, 015304 (2022)

  61. [61]

    V. M. Kendon, M. E. Cates, I. Pagonabarraga, J.-C. De- splat, and P. Bladon, Inertial effects in three-dimensional spinodal decomposition of a symmetric binary fluid mix- ture: a lattice boltzmann study, Journal of Fluid Me- chanics440, 147 (2001)

  62. [62]

    Purushothaman and S

    A. Purushothaman and S. P. Thampi, Hydrodynamic col- lision between a microswimmer and a passive particle in a micro-channel, Soft matter17, 3380 (2021)

  63. [63]

    Langaas and J

    K. Langaas and J. Yeomans, Lattice boltzmann simula- tion of a binary fluid with different phase viscosities and its application to fingering in two dimensions, The Eu- ropean Physical Journal B-Condensed Matter and Com- plex Systems15, 133 (2000)

  64. [64]

    C. A. Schneider, W. S. Rasband, and K. W. Eliceiri, Nih image to imagej: 25 years of image analysis, Nature methods9, 671 (2012)

  65. [65]

    Gilpin, V

    W. Gilpin, V. N. Prakash, and M. Prakash, Flowtrace: simple visualization of coherent structures in biological fluid flows, Journal of Experimental Biology220, 3411 (2017)

  66. [66]

    Gilpin, V

    W. Gilpin, V. N. Prakash, and M. Prakash, Vortex arrays and ciliary tangles underlie the feeding-swimming trade- off in starfish larvae, Nature Physics13, 380 (2017). 8 Supplementary material for Hydrodynamic capture and release of a microswimmer by a meniscus corner CONTENTS Acknowledgments 5 References 6 SI. EXPERIMENTAL METHODOLOGY 9 A. Active droplet ...