Most Recent Publications

3D optical trapping by a tightly focused circular airy beam

Habib Moradi, Mahmoud Jabbarpour, Daryoush Abdollahpour, and Faegheh Hajizadeh

Optics Letters

Doi: 10.1364/OL.464052

Microsphere-coupled optical tweezers

Mohammad Hossein Khosravi, Vahid Shahabadi and Faegheh Hajizadeh

Optics Letters

Doi: 10.1364/OL.431271

Escape velocity sorting in optical tweezers system using a home-made piezo mirror

Milad Malekmohammadi, Ehsan A Akhlaghi, Jamal Soltani and Faegheh Hajizadeh

Journal of Optics

Doi: 10.1088/2040-8986/ab7d88

Gear-like rotatable optical trapping with radial carpet beams

Jamal Bayat, Faegheh Hajizadeh, Ali Mohammad Khazaei and Saifollah Rasouli

Scientific Reports

Doi: 10.1038/s41598-020-68695-8

Efficient optical trapping with cylindrical vector beams

Habib Moradi, Vahid Shahabadi, E. Madadi, Ebrahim Karimi, and Faegheh Hajizadeh

Optics Express

Doi: 10.1364/OE.27.007266

Ongoing Projects

Acoustic Tweezers

Mahdi Rameh

In Collaboration with Optical Metrology Group

A well-known non-contact method for microscopic manipulation is optical tweezers. However, recent studies have shown that the potential of microscopic trapping can be expanded by using high-frequency standing sound waves, called acoustic tweezers. Acoustic tweezers are biocompatible and can trap larger particles compared to the optical tweezers while the heat-damaging effect is much less. Here, we characterize acoustic tweezers to trap particles with the few tens of micrometers produced by a homemade acoustic device.

Dual-beam Optical Tweezers

Shanay Zafari , Zahra Akbarpour , Milad Malekmohammadi

A dual-beam optical tweezers setup consists of two focused laser beams that could be used to trap two different objects or to trap a large particle like a suspended cell in 3D. Two traps could move independently in solution and this makes it possible to probe the mechanical properties of suspended cells (in 3D). Here, we engaged in developing dual-beam optical tweezers for biological application.

Deep Learning for Microscopy and Optical Tweezers

We have begun to use a data-driven approach relying on deep learning to improve the tracking of microscopic particles and the optical tweezers' force measurements using convolutional neural networks.

Faegheh Hajizadeh

Assistant Prof

Email : hajizade@iasbs.ac.ir

Tel :+98-2433-1520-13

444 Prof. Yousef Sobouti Blvd.,
Zanjan 45137-66731, Iran