RoboCelli

Robotic Magnetic Needle Characterization of Single Nanoparticle Uptake in Cells

Information Details
Funding Agency Academy of Finland (AoF)
Program Academy Projects
ID/Acronym 331149 / RoboCelli
Grant Period 2020 - 2024
Principal Investigator Prof. Quan Zhou
Project Partners Department of Electrical Engineering and Automation, Aalto University
Nanomedicines And Biomedical Engineering, University of Helsinki
Project Group Prof. Quan Zhou
Prof. Hélder A. Santos
Dr. Christos Tapeinos
Oğulcan Işıtman, PhD Student


Project description:

A deep understanding of cell uptake mechanism of nanoparticles is extremely important for disease diagnosis and treatment. Current methods are often statistical in nature, and do not characterize the specific interactions between the nanoparticles and the cells. Consequently, a quantitative understanding of the actual uptake process is often lacking and hard to achieve. In this project, we aim to quantitatively study the nanoparticle uptake process in cells by analyzing the motion of different type of magnetic nanoparticles under different force profiles. This novel and unique approach will help to understand how the different surface chemistries and functionalization of the nanoparticles affect the nanoparticle-cell internalization process, from a totally new perspective, not studied before. This will have a great impact in the future design of nanoparticles for biomedical applications.

Robotic Electromagnetic Needles for single micro/nano particle manipulation
Cellular binding force measurement

Publications

2022

  1. two_particles.gif
    Simultaneous and Independent Micromanipulation of Two Identical Particles with Robotic Electromagnetic Needles
    Ogulcan Isitman, Hakan Kandemir, Gokhan Alcan, and 2 more authors
    In 2022 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS), 2022

2021

  1. deer.gif
    Non-contact cooperative manipulation of magnetic microparticles using two robotic electromagnetic needles
    Oğulcan Işıtman, Houari Bettahar, and Quan Zhou
    IEEE Robotics and Automation Letters, 2021