Pith. sign in

REVIEW 4 major objections 4 minor 34 references

Vortex Dynamics During Pinch-off of Micro-Droplets

T0 review · 4 major / 4 minor · reviewed 2026-08-07 · deepseek-v4-flash

Pith's one-line read This paper shows that the vortex created in a micro-droplet at the moment of pinch-off decays as the inverse of time since pinch-off, and that its peak circulation can be predicted from the thinning geometry of the neck.

desk verdict New PIV observations of pinch-off vortices are solid; the omega~t^-1 scaling is plausible but rests on in-sample fits and one bad time-lag number. read the letter →

arxiv 2505.18528 v2 pith:WAAKPFIW submitted 2025-05-24 physics.flu-dyn

classification physics.flu-dyn
keywords microfluidicsdropletpinch-offvortexdynamicsparticleimagevelocimetryflow-focusingdeviceshearstresssingle-cellencapsulationslugapproximation
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

This paper sets out to establish what happens to the vortices that are born when a micro-droplet pinches off in a flow-focusing generator, and what stresses those vortices exert on anything trapped inside the droplet. High-speed particle image velocimetry in the dripping regime shows that the vortex left in the freshly formed droplet decays as $\omega^* \sim (T^*)^{-1}$, and that the vortex in the retracting ligament follows the same law. The paper also predicts the maximum circulation generated during necking from a slug approximation that uses only the measured thinning rate of the ligament. The reason to care is biological: the same pinch-off that encapsulates cells briefly loads them with shear and extensional stresses that are relatively larger in smaller droplets, while a vortex in the advancing ligament persists and strengthens over long times, prolonging that loading. If the claims hold, droplet-generator design and cell-encapsulation protocols should account for this transient vortical stress field rather than only the steady-state droplet circulation.

What carries the argument

The load-bearing object is the post-pinch-off vortex, with the scaling $\omega \sim U_{\rm int}/(\nu t)^{1/2} \sim t^{-1}$ built from two measured ingredients: the trailing-end interface velocity $U_{\rm int}$ and the viscous diffusion length $(\nu t)^{1/2}$, together with a viscous time lag $\tau_{\rm vis}=\mu_c/(\rho_c U_{\rm int}^2)$. For the necking stage, the central identity is the slug approximation $d\Gamma_s/dt = \tfrac{1}{2}(\Omega(t)/A(t))^2$, with $A(t)=\pi L_{\rm lig}^2/4$, which converts the measured constant-rate thinning of the ligament into a prediction of peak circulation. The mechanism that seeds both vortices is the bi-directional acceleration of fluid out of the rapidly thinning capillary bridge, evacuating fluid forward into the droplet and backward into the retracting ligament. Erosion of the droplet vortex then comes from viscous diffusion and opposite-sense vorticity generated at the moving interface, while the advancing ligament vortex is later re-energized by shear-driven fluid that travels along the interface and curls back from the leading end.

What would settle it

Measure the out-of-plane velocity component with stereoscopic particle image velocimetry, or run a matched three-dimensional simulation, in the same flow-focusing geometry during and after pinch-off: significant out-of-plane vorticity would break the quasi-two-dimensional assumption. Alternatively, change the viscosity ratio and check whether the post-pinch-off vorticity still decays as $\omega\sim t^{-1}$ when $U_{\rm int}$ and $(\nu t)^{1/2}$ are varied independently; if the exponent changes or the slug-model peak circulation does not match, the claimed scaling is refuted.

Watch

Extended reading notes

Core claim

The central claim is that capillary-driven pinch-off in a flow-focusing droplet generator creates a compact vortex in the droplet tail whose core vorticity decays as $\omega \sim U_{\rm int}/(\nu t)^{1/2} \sim t^{-1}$, equivalently $\omega^* \sim (T^*)^{-1}$, because the trailing-end interface velocity falls as $U_{\rm int}^* \sim (T^*)^{-1/2}$ and the vorticity spreads over a viscous diffusion length $(\nu t)^{1/2}$. The same decay law is measured in the retracting ligament. During the necking phase, the paper predicts the peak circulation in the forming droplet through the slug approximation $d\Gamma_s/dt = \tfrac{1}{2} (\Omega(t)/A(t))^2$ with $A=\pi L_{\rm lig}^2/4$, integrated in time, and finds that the predicted peak lies close to the measured $\Gamma_{\rm peak}$. Finally, the vortex in the advancing ligament does not simply die: it decays for a short time, then is reinforced by interface-curvature-driven vorticity of the opposite sign and by fluid curling back from the leading end, so it survives and strengthens over $T^* \sim 50$. The sustained advancing-ligament vortex, the paper argues, is what exposes encapsulated organisms to prolonged shear.

Load-bearing premise

The decay law rests on the premise that the core vorticity is set by the trailing-end interface velocity divided by the viscous diffusion length $(\nu t)^{1/2}$, with negligible out-of-plane motion and with interface-generated vorticity left unmeasured; if that velocity or length scale is wrong, the $\omega\sim t^{-1}$ scaling and the slug-model peak circulation do not follow.

Editorial extensions

If this is right

  • The post-pinch-off vortex dies in about $T^*\sim1.5$, so an organism in the freshly formed droplet experiences the pinch-off shear as a brief impulsive load rather than a sustained one.
  • In smaller droplets, produced at higher capillary numbers, the post-pinch-off vortex occupies more than half of the droplet, so the surface area exposed to elevated shear grows relative to the droplet volume.
  • The retracting-ligament vortex decays with the same $\omega\sim t^{-1}$ law, meaning the fluid that remains in the ligament has a stress history similar to the droplet fluid in the first moments after pinch-off.
  • The advancing-ligament vortex is sustained and strengthens over $T^*\sim50$, so the dispersed phase awaiting the next pinch-off is exposed to increasing average stress rather than relaxing.
  • The slug approximation predicts the maximum circulation from the measured neck-thinning rate alone, giving a predictive handle on the strongest vorticity before pinch-off without resolving the full flow field.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If the $\omega\sim t^{-1}$ decay is controlled only by interface retraction and viscous diffusion, the same exponent should appear in other pinch-off geometries such as T-junction or co-flow generators; measuring it there would test whether the law is universal or specific to this flow-focusing device.
  • The slug approximation should be portable to any droplet generator whose neck thins at a known rate: replacing $L_{\rm lig}$ with the measured neck dimension and integrating over the necking interval should give a parameter-free prediction of peak circulation that can be checked against direct circulation measurements for other capillary numbers.
  • A direct test of the decay mechanism would vary the viscosity ratio, which is fixed at 0.02 in this study; if the viscous time lag and diffusion length control the decay, changing the dispersed-phase viscosity should shift the time lag and alter the decay curve in a quantitative way.
  • The finding that average stresses in the advancing ligament keep rising until the next pinch-off suggests that the time spent waiting in the dispersed phase before encapsulation may contribute more total stress than the brief pinch-off pulse, a hypothesis a designed single-cell-encapsulation experiment could test.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

4 major / 4 minor

Summary. The paper reports high-speed PIV experiments on vortex dynamics during droplet pinch-off in a cross-flow (flow-focusing) microfluidic generator operating in the dripping regime. It identifies and characterizes three transient vortical structures: the post-pinch-off vortex in the detached droplet, the retracting-ligament vortex, and the advancing-ligament vortex, the last being a long-lived feature not previously discussed. The central quantitative claims are: (i) the post-pinch-off core vorticity decays as omega* ~ T*^{-1} (Section 3.2, Fig. 4b), supported by a dimensional argument using the measured trailing-end interface velocity U_int* ~ T*^{-1/2} and a viscous diffusion length (nu t)^{1/2}; (ii) the peak circulation during necking is captured by a slug-model formula dGamma_s/dt = (1/2)(Omega/A)^2 with A = pi L_lig^2/4 (Eq. 3.4); and (iii) the stresses associated with these transient vortices are large enough to matter for encapsulated organisms. The paper also maps in-plane shear and extension rates during the formation cycle.

Significance. If the scaling laws and circulation prediction are robust, the paper provides a useful quantitative description of a transient flow feature that is usually ignored in droplet-microfluidics studies, and it connects that flow to a biologically motivated stress-loading question. The strengths are the direct time-resolved PIV measurements, the explicit stress-field characterization, the simple slug-model estimate of peak circulation, and the identification of the sustained advancing-ligament vortex. However, the headline scaling law is partly an internal-consistency statement: the omega* exponent follows from a U_int* exponent that is fitted to the same dataset, and the controlling length scale (nu t)^{1/2} is assumed rather than independently verified. The paper also relies on a quasi-two-dimensional flow assumption that is not quantitatively checked. These issues make the results promising but not yet definitive.

major comments (4)
  1. [Section 3.2, after Eq. (3.2)] The viscous time-lag estimate is numerically inconsistent. The text states that tau_vis = mu_c/(rho_c U_int^2) is of order 10^-4 s for U_int ~ 10^-1 m/s, but using the stated values mu_c ~ 0.048 Pa s and rho_c ~ 960 kg/m^3 gives tau_vis ~ 5 x 10^-3 s, a factor of roughly 50 larger. Because this time lag is used to reconcile the omega* and U_int* scaling curves, the argument as written should be corrected or replaced with a more direct measurement of the lag.
  2. [Section 3.2, Eq. (3.3)] The derived decay law omega ~ U_int/(nu t)^{1/2} ~ t^{-1} is not an independent test of the scaling: U_int* ~ T*^{-1/2} is fitted from the same data, and the viscous length scale (nu t)^{1/2} is assumed without direct verification. The paper also acknowledges (p. 7-8) that 'the specific role of vorticity generated by the interfacial motion could not be definitively identified.' To make the scaling claim load-bearing, the authors should either provide an independent data collapse (e.g., plot omega*(nu t)^{1/2}/U_int versus T* for all lambda), or show that the same exponent is obtained when U_int is measured independently of the vorticity field, or demonstrate robustness across at least one additional fluid pair or channel geometry.
  3. [Section 2 and Section 3.2] The quasi-two-dimensional assumption (Wc/h = 3, 'three-dimensional effects are minimum') is asserted without a quantitative check. All vorticity and circulation values are computed from a single focal-plane PIV measurement, and out-of-plane motion or vortex stretching along the vorticity vector would bias the measured omega, Gamma, and stress integrals. The authors should provide a concrete indicator of two-dimensionality, such as a mass-conservation residual, a comparison of in-plane divergence with the out-of-plane velocity gradient, or a companion 3D simulation for at least one case.
  4. [Section 3.2, Eq. (3.4) and Fig. 4(e,f)] The agreement between the slug-model prediction and the measured Gamma_peak depends on the definition of the vortex core area through the lambda_ci threshold, but the threshold is not specified. Also, the model assumes that the control-volume length follows L_lig and that A = pi L_lig^2/4, with no sensitivity analysis of these choices. Please state the lambda_ci criterion, the uncertainty in L_lig, and how the predicted Gamma_peak changes under reasonable variations of the control-volume definition.
minor comments (4)
  1. [Section 3.2, Fig. 4] The text gives the time lag as T_o^* ~ O(10^-4 s), but T* is elsewhere defined as a dimensionless time; please clarify whether the lag is dimensional or dimensionless and use consistent notation.
  2. [Figure 8 caption] The caption contains a duplicated word: 'Variation of of epsilon*_max' should read 'Variation of epsilon*_max'.
  3. [References] The reference list has a typo in the author name 'MinsSeok' (Nie et al. 2008), and the 'Declaration of Interests' line is repeated in the Acknowledgements section.
  4. [Section 3.3, Fig. 6] The description of the advancing-ligament vortex would benefit from a clearer statement of how the central recirculation zone is distinguished from interfacial vorticity gradients, since the latter are explicitly excluded from the omega values.

Circularity Check

0 steps flagged · score 1.0 of 10

No significant circularity: the measured decay laws and the externally referenced slug-flow model are self-contained, with limitations that affect certainty rather than reducing to their own inputs.

full rationale

The paper's central post-pinch-off vorticity decay law, ω* ∼ T*^{-1}, is an empirical fit to direct PIV measurements, and the supporting U_int* ∼ T*^{-1/2} scaling is a separate measurement from the same experiments. Equation (3.3) combines the measured U_int trend with an assumed viscous diffusion length (νt)^{1/2} to reproduce the observed ω decay; this is an interpretive consistency argument rather than an independent derivation, but it is not circular because ω is not defined in terms of U_int and no parameter is fitted to force the agreement. The peak-circulation prediction uses the externally referenced slug approximation of Dabiri & Gharib (2005) with measured ligament geometry and no free parameter tuned to the measured Γ_peak; the in-sample comparison is a validation, not a construction. Self-citations (Rao et al. 2024 for the λ_ci vortex-identification method; Jain et al. 2023/2024 for biological motivation) are methodological or contextual and are not load-bearing. The explicitly admitted limitation in Section 3.2 that 'the specific role of vorticity generated by the interfacial motion could not be definitively identified' and the asserted quasi-two-dimensional assumption based on Wc/h = 3 weaken the certainty of the scaling explanation, but they are evidentiary weaknesses, not circular reductions.

Assumptions & free parameters 3 free parameters · 5 assumptions · 0 invented entities

The central claims rest on the quasi-2D flow assumption, the assumed viscous-diffusion scaling for vorticity decay, and the ad hoc slug control volume whose length is set equal to the neck width. The scaling exponents and time lag are fitted to the same data they are used to explain.

free parameters (3)
  • Post pinch-off vorticity decay exponent = -1 (omega* ~ T*^-1)
    Power-law decay fitted to post pinch-off PIV data; shown as a dotted line in figure 4(b). This exponent is then rationalized using the separately fitted U_int scaling, making the derivation a consistency check rather than an independent prediction.
  • Trailing-end interface velocity decay exponent = -1/2 (U_int* ~ T*^-1/2)
    Fitted decay shown in figure 4(c); used as the velocity scale in the vorticity scaling argument of eq (3.3).
  • Time lag T_o = O(10^-4 s)
    Introduced to reconcile the phase offset between the U_int decay and the omega decay; argued to be of order tau_vis = mu_c/(rho_c U_int^2) (Section 3.2, p.8).
assumptions (5)
  • domain assumption Quasi-two-dimensional flow in the observation plane
    Justified by Wc/h = 3 and stated as 'we assume the three-dimensional effects are minimum' (Section 3.2, p.6). Planar PIV and lambda_ci vortex identification depend on this.
  • domain assumption Shear stress continuity at the oil-water interface (eq 3.2)
    Used to argue that velocity gradients are larger inside the droplet and to support the U_int scaling; assumes clean, Newtonian interfaces with matched tangential stress.
  • ad hoc to paper Core vorticity decays with viscous diffusion length L_r ~ (nu t)^{1/2} and velocity U_r = U_int
    Introduced to derive omega ~ t^{-1} in eq (3.3); the paper states that the interfacial vorticity role 'could not be definitively identified' (p.7-8), so this is an assumed mechanism.
  • ad hoc to paper Slug control volume length follows L_lig and cross-section A = pi L_lig^2/4
    Assumed in eq (3.4) without independent validation; L_lig is the measured neck width from figure 2(d), and its dual use as control-volume length and cross-section diameter is not justified.
  • domain assumption PIV particles faithfully follow the fluid flow
    0.9 um polystyrene particles in water are assumed to be faithful tracers at the time scales studied; standard but not verified against an independent method.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Vortex Dynamics During Pinch-off of Micro-Droplets." pith.science (2026). https://pith.science/paper/WAAKPFIW

@misc{pith2026250518528,
  author       = {Pith},
  title        = {Pith review of: Vortex Dynamics During Pinch-off of Micro-Droplets},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/WAAKPFIW}},
  note         = {Machine review of arXiv:2505.18528}
}
read the original abstract

Micro-droplets are extensively used in chemical, biological, and medical research, primarily for conducting various tests on samples, including living organisms, using a microfluidic framework. Recent studies have shown that the physiology of bacteria can be significantly altered when subjected to shear and/or extensional stresses. With this motivation, we perform experiments to understand the vortex dynamics involved during the pinch-off process in a cross flow droplet generator, using particle image velocimetry (PIV) to visualize the vortical structures and to quantitatively measure the associated stresses developed inside droplets. The process of pinching off inherently leads to bi-directional acceleration of fluid in the rapidly thinning capillary bridge, resulting in a vortex in the separated droplet as well as in the retracting ligament. We propose scaling laws for the vortical flow inside the droplet post pinch-off and predict the maximum circulation production inside droplet. Further, we discuss the vortex dynamics inside the droplet, the retracting ligament and the advancing ligament and examine the stress fields associated with this transient phenomenon.

Figures

Figures reproduced from arXiv: 2505.18528 by the authors.

Figure 1
Figure 1. (a) Three-dimensional schematic of the droplet generator device with associated [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. (a) Schematic depicting forces and interfacial motion involved during the droplet [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. (a) Time evolution of 𝜔 ∗ for 𝜆 = 4 and 𝜆 = 10. The scale bar represents 50 𝜇𝑚. (b) Decay mechanism of the post pinch-off vortex during transient state when the droplet shape is unstable. The purple colored arrows on the interface depicts the tendency of interface motion and the gray zone represents the region under its influence. depicted in figure 3. This strong fluid acceleration is due to the very low radius of … view at source ↗
Figures from the paper (6 more)
Figure 4
Figure 4. Figure 4: (a) Evolution of 𝜔 ∗ during the necking phase. The green marked zone inside the droplet depicts the area over which 𝜔 ∗ is evaluated. (b) Evolution of 𝜔 ∗ post pinch-off. The dotted line represents a fitted curve (c) Evolution of 𝑈 ∗ int = 𝑈int(𝑡pinch/𝐷d) post pinch-of…
Figure 5
Figure 5. Figure 5: (a) Evolution of 𝜔 ∗ for the retracting ligament vortex. The marked zone inside the droplet depicts the state of the droplet for which the data is taken. (b) Evolution of Γ ∗ for the retracting ligament vortex. 𝑢avg,peak represents the maximum of the average value of t…
Figure 6
Figure 6. Figure 6: (a) 𝜔 ∗ contours at different times for the advancing ligament vortex for 𝜆 = 8. 𝑇 ∗ = 0 marks the pinch-off time (b) The six 𝜔 ∗ values correspond to the vorticity contour plots in (a). applications, researchers aim to achieve smaller droplet sizes to minimize fluid v…
Figure 7
Figure 7. Figure 7: Contour plots of 𝜖 ∗ at different times. The scale bar represents 50 𝜇m . d) for a single value of 𝜆 = 6 follow a similar decay and for all quantities it can be seen that 𝜖 ∗ is much higher compared to 𝜂 ∗ x and 𝜂 ∗ y . Between 𝜂 ∗ x and 𝜂 ∗ y , the linear shear in x d…
Figure 8
Figure 8. Figure 8: (a) Variation of of 𝜖 ∗ max for 𝜆 = 4 − 10. (b) Area integral (c) Average and (d) Maximum of shear and extension rates for 𝜆 = 6 [PITH_FULL_IMAGE:figures/full_fig_p012_8.png]
Figure 9
Figure 9. Figure 9: (a) Variation of (a) 𝜖 ∗ , (b) 𝜂x (c) 𝜂y for retracted and advancing ligament phases. The first part of each plot is for the retracted ligament. The other part of each plot represents the advancing ligament and corresponds to the same time as shown for vorticity plots …

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

34 extracted references · 31 canonical work pages

  1. [1]

    flow focusing

    Anna, Shelley L. , Bontoux, Nathalie & Stone, Howard A. 2003 Formation of dispersions using “flow focusing” in microchannels . Applied Physics Letters 82 (3), 364--366

  2. [2]

    , Gallaire, Francois & Dangla, Rémi 2010 Dynamics of microfluidic droplets

    Baroud, Charles N. , Gallaire, Francois & Dangla, Rémi 2010 Dynamics of microfluidic droplets . Lab Chip 10 , 2032--2045

  3. [3]

    & Gharib, Morteza 2005 Starting flow through nozzles with temporally variable exit diameter

    Dabiri, John O. & Gharib, Morteza 2005 Starting flow through nozzles with temporally variable exit diameter . Journal of Fluid Mechanics 538 , 111–136

  4. [4]

    , Debas, H

    Funfschilling, D. , Debas, H. , Li, H.-Z. & Mason, T. G. 2009 Flow-field dynamics during droplet formation by dripping in hydrodynamic-focusing microfluidics . Phys. Rev. E 80 , 015301

  5. [5]

    & Whitesides, George M

    Garstecki, Piotr , Stone, Howard A. & Whitesides, George M. 2005 Mechanism for flow-rate controlled breakup in confined geometries: A route to monodisperse emulsions . Phys. Rev. Lett. 94 , 164501

  6. [6]

    Padron , Alexander, Shuppara , Palalay, S

    Gilberto, C. Padron , Alexander, Shuppara , Palalay, S. Jessica-Jae , Sharma, Anuradha & Joseph E., Sanfilippo 2023 Bacteria in fluid flow . Journal of Bacteriology 205 (4), e00400--22

  7. [7]

    & Neves, Nuno M

    Gimondi, Sara , Ferreira, Helena , Reis, Rui L. & Neves, Nuno M. 2023 Microfluidic devices: A tool for nanoparticle synthesis and performance evaluation . ACS Nano 17 (15), 14205--14228

  8. [8]

    iScience 26 (5)

    Hariharan, Vishnu , Chowdhury, Atish Roy , Rao S, Srinivas , Chakravortty, Dipshikha & Basu, Saptarshi 2023 <em>phop</em> maintains the environmental persistence and virulence of pathogenic bacteria in mechanically stressed desiccated droplets . iScience 26 (5)

Show all 34 references
  1. [9]

    , Zhang, Pengfei , Liao, Joseph C

    Hsieh, Kuangwen , Mach, Kathleen E. , Zhang, Pengfei , Liao, Joseph C. & Wang, Tza-Huei 2022 Combating antimicrobial resistance via single-cell diagnostic technologies powered by droplet microfluidics . Accounts of Chemical Research 55 (2), 123--133

  2. [10]

    Langmuir 40 (33), 17161--17169

    Jain, Siddhant , Chakravortty, Dipshikha & Basu, Saptarshi 2024 Interfacial stresses within droplets and channels influence bacterial physiology: A perspective . Langmuir 40 (33), 17161--17169

  3. [11]

    Soft Matter 19 , 9239--9253

    Jain, Siddhant , Singh, Anmol , Tiwari, Nivedita , Naik, Aparna , Chatterjee, Ritika , Chakravortty, Dipshikha & Basu, Saptarshi 2023 Observations on phenomenological changes in klebsiella pneumoniae under fluidic stresses . Soft Matter 19 , 9239--9253

  4. [12]

    , Pico, P

    Kalli, M. , Pico, P. , Chagot, L. , Kahouadji, L. , Shin, S. , Chergui, J. , Juric, D. , Matar, O. K. & Angeli, P. 2023 Effect of surfactants during drop formation in a microfluidic channel: a combined experimental and computational fluid dynamics approach . Journal of Fluid M...

  5. [13]

    Lab Chip 22 , 621--631

    Li, Hui , Zhang, Pengfei , Hsieh, Kuangwen & Wang, Tza-Huei 2022 Combinatorial nanodroplet platform for screening antibiotic combinations . Lab Chip 22 , 621--631

  6. [14]

    , Huck, Wilhelm T

    Ma, Shaohua , Sherwood, Joseph M. , Huck, Wilhelm T. S. & Balabani, Stavroula 2014 On the flow topology inside droplets moving in rectangular microchannels . Lab Chip 14 , 3611--3620

  7. [15]

    Lloyd , Weitz, David A

    Mazutis, Linas , Gilbert, John , Ung, W. Lloyd , Weitz, David A. , Griffiths, Andrew D. & Heyman, John A. 2013 Single-cell analysis and sorting using droplet-based microfluidics . Nature Protocols 8 (5), 870--891

  8. [16]

    , Baret, Jean-Christophe , deMello, Andrew J

    Moragues, Thomas , Arguijo, Diana , Beneyton, Thomas , Modavi, Cyrus , Simutis, Karolis , Abate, Adam R. , Baret, Jean-Christophe , deMello, Andrew J. , Densmore, Douglas & Griffiths, Andrew D. 2023 Droplet-based microfluidics . Nature Reviews Methods Primers 3 (1), 32

  9. [17]

    Annual Review of Fluid Mechanics 56 (Volume 56, 2024), 319--347

    Ni, Rui 2024 Deformation and breakup of bubbles and drops in turbulence . Annual Review of Fluid Mechanics 56 (Volume 56, 2024), 319--347

  10. [18]

    , Mok, Michelle , Kumacheva, Eugenia , Whitesides, George M

    Nie, Zhihong , Seo, MinsSeok , Xu, Shengqing , Lewis, Patrick C. , Mok, Michelle , Kumacheva, Eugenia , Whitesides, George M. , Garstecki, Piotr & Stone, Howard A. 2008 Emulsification in a microfluidic flow-focusing device: effect of the viscosities of the liquids . Microfluid...

  11. [19]

    , Kim, Minyoung Kevin , Ingremeau, Francois , Siryaporn, Albert , Drescher, Knut , Wingreen, Ned S

    Persat, Alexandre , Nadell, Carey D. , Kim, Minyoung Kevin , Ingremeau, Francois , Siryaporn, Albert , Drescher, Knut , Wingreen, Ned S. , Bassler, Bonnie L. , Gitai, Zemer & Stone, Howard A. 2015 The mechanical world of bacteria . Cell 161 (5), 988--997

  12. [20]

    & Renaud, Philippe 2017 In vivo neurochemical measurements in cerebral tissues using a droplet-based monitoring system

    Petit-Pierre, Guillaume , Colin, Philippe , Laurer, Estelle , D \'e glon, Julien , Bertsch, Arnaud , Thomas, Aur \'e lien , Schneider, Bernard L. & Renaud, Philippe 2017 In vivo neurochemical measurements in cerebral tissues using a droplet-based monitoring system . Nature Com...

  13. [21]

    Accounts of Chemical Research 55 (5), 605--615

    Postek, Witold & Garstecki, Piotr 2022 Droplet microfluidics for high-throughput analysis of antibiotic susceptibility in bacterial cells and populations . Accounts of Chemical Research 55 (5), 605--615

  14. [22]

    & Gitai, Zemer 2024 Free-swimming bacteria transcriptionally respond to shear flow

    Ramachandran, Ashwin , Stone, Howard A. & Gitai, Zemer 2024 Free-swimming bacteria transcriptionally respond to shear flow . Proceedings of the National Academy of Sciences 121 (42), e2406688121

  15. [23]

    Physical Review Fluids 9 (5), L051602

    Rao, Saini Jatin , Jain, Siddhant & Basu, Saptarshi 2024 Dynamics of soap bubble inflation . Physical Review Fluids 9 (5), L051602

  16. [24]

    , Roberts, Scott A

    Roberts, Christine C. , Roberts, Scott A. , Nemer, Martin B. & Rao, Rekha R. 2014 Circulation within confined droplets in hele-shaw channels . Physics of Fluids 26 (3), 032105

  17. [25]

    , Chinaud, Maxime , Nowak, Emilia , Simmons, Mark J.H

    Roumpea, Evangelia , Kovalchuk, Nina M. , Chinaud, Maxime , Nowak, Emilia , Simmons, Mark J.H. & Angeli, Panagiota 2019 Experimental studies on droplet formation in a flow-focusing microchannel in the presence of surfactants . Chemical Engineering Science 195 , 507--518

  18. [26]

    Physics of Fluids 11 (9), 2487--2493

    Song, Museok & Tryggvason, Gr \'e tar 1999 The formation of thick borders on an initially stationary fluid sheet . Physics of Fluids 11 (9), 2487--2493

  19. [27]

    Journal of Open Research Software 2 (1)

    Stamhuis, Eize & Thielicke, William 2014 Pivlab – towards user-friendly, affordable and accurate digital particle image velocimetry in matlab . Journal of Open Research Software 2 (1)

  20. [28]

    , Saleski, Tatyana E

    Tan, James Y. , Saleski, Tatyana E. & Lin, Xiaoxia Nina 2022 The effect of droplet size on syntrophic dynamics in droplet-enabled microbial co-cultivation . PLOS ONE 17 (3), e0266282

  21. [29]

    Journal of Fluid Mechanics 890 , A5

    Terrington, S J , Hourigan, K & Thompson, M C 2020 The generation and conservation of vorticity: deforming interfaces and boundaries in two-dimensional flows . Journal of Fluid Mechanics 890 , A5

  22. [30]

    Vagner, S. A. , Patlazhan, S. A. , Serra, C. A. & Funfschilling, D. 2021 Vortex flow evolution in a growing microdroplet during co-flow in coaxial capillaries . Physics of Fluids 33 (7), 072010

  23. [31]

    Wang, Jiajun , Wang, Jianan , Feng, Lianfang & Lin, Tong 2015 Fluid mixing in droplet-based microfluidics with a serpentine microchannel . RSC Adv. 5 , 104138--104144

  24. [32]

    , Adrian, R

    Zhou, J. , Adrian, R. J. , Balachandar, S. & Kendall, T. M. 1999 Mechanisms for generating coherent packets of hairpin vortices in channel flow . Journal of Fluid Mechanics 387 , 353--396

  25. [33]

    , " * write output.state after.block = add.period write newline

    ENTRY address author booktitle chapter edition editor howpublished institution journal key month note number organization pages publisher school series title type volume year eprint label extra.label sort.label short.list INTEGERS output.state before.all mid.sentence after.sen...

  26. [34]

    write newline

    " write newline "" before.all 'output.state := FUNCTION n.dashify 't := "" t empty not t #1 #1 substring "-" = t #1 #2 substring "--" = not "--" * t #2 global.max substring 't := t #1 #1 substring "-" = "-" * t #2 global.max substring 't := while if t #1 #1 substring * t #2 gl...

Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.