Future Perspectives of Robotic Manipulation of Reproductive Cells DOI
Changsheng Dai, Yu Sun

Published: Jan. 1, 2023

Significant advances are witnessed in the past decades robotic cell manipulation, but a few challenges still present for label-free imaging and subcellular calling more powerful tools. Traditional relies on staining affects viability, digital holographic microscopy holds potential 3D imaging. Moreover, to achieve intracellular deformation modeling motion control level need be developed. Lastly, machine learning can help artificially increase microscope depth of field, predict labeled images from unlabeled images, super-resolution image conventional image, which all greatly enhance capabilities.

Language: Английский

Convergent evolution in the supercoiling of prokaryotic flagellar filaments DOI Creative Commons
Mark A. B. Kreutzberger, Ravi R. Sonani, Junfeng Liu

et al.

Cell, Journal Year: 2022, Volume and Issue: 185(19), P. 3487 - 3500.e14

Published: Sept. 1, 2022

Language: Английский

Citations

40
Construction of intelligent moving micro/nanomotors and their applications in biosensing and disease treatment DOI Creative Commons
Yingshu Guo,

Dan Jing,

Shiwei Liu

et al.

Theranostics, Journal Year: 2023, Volume and Issue: 13(9), P. 2993 - 3020

Published: Jan. 1, 2023

Micro/nanomotors are containers that pass through liquid media and carry cargo.Because they tiny, micro/nanomotors exhibit excellent potential for biosensing disease treatment applications.However, their size also makes overcoming random Brownian forces very challenging moving on targets.Additionally, to achieve desired practical applications, the expensive materials, short lifetimes, poor biocompatibility, complex preparation methods, side effects of must be addressed, adverse evaluated both in vivo applications.This has led continuous development key materials driving micro/nanomotors.In this work, we review working principles micro/nanomotors.Metallic nonmetallic nanocomplexes, enzymes, living cells explored as micro/nanomotors.We consider exogenous stimulations endogenous substance conditions micro/nanomotor motions.The discussion focuses applications biosensing, treating cancer gynecological diseases, assisted fertilization.By addressing shortcomings, propose directions further developing applying micro/nanomotors.

Language: Английский

Citations

26
Robust undulatory locomotion through neuromechanical adjustments in a dissipative medium DOI Creative Commons
Kenta Ishimoto, Clément Moreau, Johann Herault

et al.

Journal of The Royal Society Interface, Journal Year: 2025, Volume and Issue: 22(222)

Published: Jan. 1, 2025

Dissipative environments are ubiquitous in nature, from microscopic swimmers low-Reynolds-number fluids to macroscopic animals frictional media. In this study, we consider a mathematical model of slender elastic locomotor with an internal rhythmic neural pattern generator examine various undulatory locomotion such as Caenorhabditis elegans swimming and crawling behaviours. By using local mechanical load mechanosensory feedback, have found that robustly emerges different rheological This progressive behaviour is then characterized global attractor through dynamical systems analysis Poincaré section. Furthermore, by controlling the mechanosensation, were able design manoeuvre progressive, reverse turning motions well apparently random, complex behaviours, reminiscent those experimentally observed C. elegans. The mechanisms together our methodology, useful for deciphering animal adaptive behaviours designing robots capable wide range dissipative environments.

Language: Английский

Citations

1
Fluid-structure interaction of bio-inspired flexible slender structures: a review of selected topics DOI
Chenglei Wang, Hui Tang, Xing Zhang

et al.

Bioinspiration & Biomimetics, Journal Year: 2022, Volume and Issue: 17(4), P. 041002 - 041002

Published: April 20, 2022

Flexible slender structures are ubiquitous in biological systems and engineering applications. Fluid-structure interaction (FSI) plays a key role the dynamics of such immersed fluids. Here, we survey recent studies on highly simplified bio-inspired models (either mathematical or mechanical) that aim to revealthe flow physics associated with FSI. Various from different sources inspiration included, namely flexible flapping foil inspired by fish insects, deformable membrane jellyfish cephalopods, beating filaments flagella cilia microorganisms, wall-mounted terrestrial aquatic plants. Suggestions directions for future research also provided.

Language: Английский

Citations

29
Self-organized swimming with odd elasticity DOI Creative Commons
Kenta Ishimoto, Clément Moreau, Kento Yasuda

et al.

Physical review. E, Journal Year: 2022, Volume and Issue: 105(6)

Published: June 6, 2022

We theoretically investigate self-oscillating waves of an active material, which were recently introduced as a nonsymmetric part the elastic moduli, termed odd elasticity. Using Purcell's three-link swimmer model, we reveal that odd-elastic filament at low Reynolds number can swim in self-organized manner and time-periodic dynamics are characterized by stable limit cycle generated elastohydrodynamic interactions. Also, consider noisy shape gait derive swimming formula for general material Stokes regime with its elasticity modulus being represented matrix, demonstrating produces biased net locomotion from random noise.

Language: Английский

Citations

25
Generalised Jeffery's equations for rapidly spinning particles. Part 1. Spheroids DOI Creative Commons
Mohit P. Dalwadi, Clément Moreau, Eamonn A. Gaffney

et al.

Journal of Fluid Mechanics, Journal Year: 2024, Volume and Issue: 979

Published: Jan. 9, 2024

The observed behaviour of passive objects in simple flows can be surprisingly intricate, and is complicated further by object activity. Inspired the motility bacterial swimmers, this two-part study we examine three-dimensional motion rigid active particles shear Stokes flow, focusing on bodies that induce rapid rotation as part their In Part 1 develop a multiscale framework to investigate these emergent dynamics apply it spheroidal objects. 2 (Dalwadi et al. , J. Fluid Mech. vol. 979, 2024, A2) our understand more complex shapes; helicoidal with chirality. Via multiple scales asymptotic analysis for nonlinear systems, systematically derive equations long-term trajectories explicitly account strong (leading-order) effects fast spinning. Supported numerical examples, constructively link effective well-known Jeffery's orbits spheroids, deriving an explicit closed-form expression shape particle, broadening scope seminal spinning spheroids.

Language: Английский

Citations

5
The Known and Unknown About Female Reproductive Tract Mucus Rheological Properties DOI Creative Commons

Luke Achinger,

Derek F. Kluczynski,

Abigail Gladwell

et al.

BioEssays, Journal Year: 2025, Volume and Issue: unknown

Published: March 22, 2025

ABSTRACT Spermatozoa reach the fallopian tube during ovulation by traveling through female reproductive tract mucus. This non‐Newtonian viscoelastic medium facilitates spermatozoon movement to accomplish fertilization or, in some cases, blocks movement, leading infertility. While rheological properties are known affect motility with vitro models using synthetic polymers, their precise effects vivo understudied. paper reviews measurements of mucus humans and model animals, focusing on viscosity its potential effect spermatozoa. Mucus tract's different compartments is poorly understood. information this subject incomplete, most mammals appear have a decrease along tracts. Based sparse information, we hypothesize that changes tracts may guide spermatozoa eggs, novel concept could improve our understanding biology.

Language: Английский

Citations

0
A regularised force-doublet framework for self-propelled microswimmers DOI
Alexander Hoover, Priya Shilpa Boindala, Ricardo Cortez

et al.

Journal of Fluid Mechanics, Journal Year: 2025, Volume and Issue: 1009

Published: April 11, 2025

A single particle representation of a self-propelled microorganism in viscous incompressible fluid is derived based on regularised Stokeslets three dimensions. The formulation developed from limiting process which two equal and opposite strength but with different size regularisation parameters approach each other. parameter that captures the difference provides asymmetry needed for propulsion. We show resulting limit superposition stresslet potential dipole. model framework then explored relative to provide insight into their selection. particular case identical particles swimming next other presented stability investigated. Additional flow characteristics are incorporated modelling addition rotlet double characterise rotational flows present during swimming. Lastly, we versatility deriving method wall effects an infinite plane using images.

Language: Английский

Citations

0
A narrative review of spermbots in assisted reproduction: Integrating AI for enhanced fertility outcomes and future innovations DOI Creative Commons

Neeraj Vishwakarma,

Nancy Nair,

Charu Pareek

et al.

Asian Pacific Journal of Reproduction, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

Sperm-structure-integrating nanodecorated microrobots have shown promise in medicine delivery and infertility treatment. A variety of spermbots use cutting-edge nanomaterials 3D printing technology to enhance their functioning, such as biomimetic sperms flagellate microorganisms. The success rates assisted reproductive techniques like vitro fertilisation (IVF) intracytoplasmic sperm injection (ICSI) may increase a result these developments. Furthermore, the incorporation artificial intelligence (AI) into has potential optimize therapies by reducing inherited illnesses through genetic screening editing. However, before widespread implementation clinical practice, several critical aspects must be addressed. Thorough investigations biocompatibility, ethical considerations, long-term safety are necessary ensure that technologies safe effective for vivo applications.

Language: Английский

Citations

0
A novel Human Conception Optimizer for solving optimization problems DOI Creative Commons
Debasis Acharya, Dushmanta Kumar Das

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: Dec. 14, 2022

Computational techniques are widely used to solve complex optimization problems in different fields such as engineering, finance, biology, and so on. In this paper, the Human Conception Optimizer (HCO) is proposed a novel metaheuristic algorithm any problems. The idea of based on some biological principles human conception process, selective nature cervical gel female reproductive system allow only healthy sperm cells into cervix, guidance mucus help track genital tracking path towards egg Fallopian tube, asymmetric flagellar movement which allows move system, hyperactivation process make them able fertilize an egg. Thus, strategies pursued by searching for tube modeled mathematically. best will meet position be solution algorithm. performance HCO examined with set basic benchmark test functions called IEEE CEC-2005 CEC-2020. A comparative study also performed between other available algorithms. significance results verified statistical methods. To validate algorithm, two real-world engineering examined. For purpose, 14 over-current relay 8 bus distribution considered. With improvement 50% 60% total operating times observed comparing existing same system. Another problem designing optimal proportional integral derivative (PID) controller blower driven patient hose mechanical ventilator (MV) significant terms response time, settling time MV results.

Language: Английский

Citations

17