Bingjie Bi;Cun Zhao;Chunlei Jiang;Penghui Dai;Hongda Jiang;Peng Chen;Xiufang Wang;Yu Sun;Xu Liu
{"title":"Utilizing Mode-Division Multiplexing for Multicell Trapping","authors":"Bingjie Bi;Cun Zhao;Chunlei Jiang;Penghui Dai;Hongda Jiang;Peng Chen;Xiufang Wang;Yu Sun;Xu Liu","doi":"10.1109/JSEN.2025.3553389","DOIUrl":null,"url":null,"abstract":"We propose a novel single-fiber optical tweezers technology based on mode-division multiplexing (MDM) using LP<sub>01</sub>, LP<sub>11</sub>, and LP<sub>21</sub> modes. This method enables effective coupling between multimode fibers (MMFs) and single-mode fibers (SMFs) through precise coaxial splicing. By exciting multiple modes in the MMF and employing the SMF for mode filtering, we selectively retain the LP<sub>01</sub>, LP<sub>11</sub>, and LP<sub>21</sub> modes while effectively suppressing higher order modes. Additionally, we have designed and fabricated an abruptly tapered fiber (ATF) probe to converge the beams of different modes, generating distinct focused light fields at the probe’s tip and sides. The simulation and experimental results indicate that this technology can establish multiple stable optical traps, allowing for the effective trapping of several cells. This approach provides precise manipulation tools for studying interactions, such as collective sensing and metabolic cooperation among cells, demonstrating significant application potential, particularly in single-cell analysis, multicellular assembly, and biological micromanipulation.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 9","pages":"15130-15135"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10944239/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
We propose a novel single-fiber optical tweezers technology based on mode-division multiplexing (MDM) using LP01, LP11, and LP21 modes. This method enables effective coupling between multimode fibers (MMFs) and single-mode fibers (SMFs) through precise coaxial splicing. By exciting multiple modes in the MMF and employing the SMF for mode filtering, we selectively retain the LP01, LP11, and LP21 modes while effectively suppressing higher order modes. Additionally, we have designed and fabricated an abruptly tapered fiber (ATF) probe to converge the beams of different modes, generating distinct focused light fields at the probe’s tip and sides. The simulation and experimental results indicate that this technology can establish multiple stable optical traps, allowing for the effective trapping of several cells. This approach provides precise manipulation tools for studying interactions, such as collective sensing and metabolic cooperation among cells, demonstrating significant application potential, particularly in single-cell analysis, multicellular assembly, and biological micromanipulation.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice