Completely non-invasive cell manipulation in lens-integrated microfluidic devices by single-fiber optical tweezers.

In a fiber-based optical tweezer system, it is a common practice to insert the fiber probe into the sample solution to perform the tweezer function. Such a configuration of the fiber probe may lead to unwanted contamination and/or damage to the sample system and is thus potentially invasive. Here, we propose a completely non-invasive method for cell manipulation by combining a microcapillary microfluidic device and an optical fiber tweezer. We demonstrate that Chlorella cells inside the microcapillary channel can be successfully trapped and manipulated by an optical fiber probe located outside of the microcapillary, thus making the process completely non-invasive. The fiber does not even invade the sample solution. To our knowledge, this is the first report of such a method. The speed of stable manipulation can reach the 7 µm/s scale. We found that the curved walls of the microcapillaries worked like a lens, which helped to boost the light focusing and trapping efficiency. Numerical simulation of optical forces under medium settings reveals that the optical forces can be enhanced by up to 1.44 times, and the optical forces can change direction under certain conditions.

Nanovibration detection based on a microsphere.

We propose a novel, to the best of our knowledge, sensor for nanovibration detection based on a microsphere. The sensor consists of a stretched single-mode fiber and a 2 µm microsphere. The light from the optical fiber passes through the microsphere, forming a photonic nanojet (PNJ) phenomenon at the front of the microsphere. The evanescent field in the PNJ enhances the light reflected from the measured object to the single-mode fiber-microsphere probe (SMFMP). Results showed that the system can detect arbitrary nanovibration waveforms in real time with an SMFMP detection resolution of 1 nm. The voltage signal received and the vibration amplitude showed a good linear relationship within the range of 0-100 nm, with a sensitivity of 0.7 mV/nm and a linearity of more than 99%. The sensor is expected to have potential applications in the field of cell nanovibration detection.

Label-free non-invasive subwavelength-resolution imaging using yeast cells as biological lenses.

There is a growing interest to use live cells to replace the widely used non-biological microsphere lenses. In this work, we demonstrate the use of yeast cells for such imaging purpose. Using fiber-based optical trapping technique, we trap a chain of three yeast cells and bring them to the vicinity of imaging objects. These yeast cells work as near-field magnifying lenses and simultaneously pick up the sub-diffraction information of the nanoscale objects under each cell and project them into the far-field. The experimental results demonstrated that Blu-ray disc of 100 nm feature can be clearly resolved in a parallel manner by each cell.

All-fiber rotary velocity measurement based on Doppler frequency differences obtained by two homodyne interferometers.

A laser Doppler rotary velocity measurement method based on an all-fiber homodyne interferometer is proposed in this paper. In this method, the target rotary velocity is measured by the difference of two Doppler frequencies, detected by two homodyne interferometers with a single photodetector (PD), which can be located anywhere on the side of the turntable, and then the rotary velocity can be measured very flexibly without measuring the incident angle. This method can miniaturize the dual-beam rotary speed measurement device. The experimental results show that the relative errors are below 0.5%.

Vibration measurement technology based on the reverse point recognition algorithm for laser self-mixing interference.

The self-mixing interference (SMI) signal carries the information of the external moving object, which has great physical significance and application prospects for extracting and analyzing the information of the external object. In this paper, we propose a vibration measurement method based on a reverse point recognition algorithm on the SMI laser signal. By extracting and analyzing the hill and valley values of the SMI signal to determine the reverse point, combined with the semifringe counting method, the vibration information of external objects can be accurately extracted. The method we propose simplifies the displacement reconstruction process with high accuracy. The simulation and experimental results show that this method can achieve high-precision measurements of microvibration with an absolute error of less than 19 nm.

Rotation velocity measurement based on a self-mixing grating interferometer.

A novel rotational velocity measurement method based on the self-mixing grating interferometer (SMGI) is explored and presented in this paper. In this method, the target object rotational velocity is measured by the Doppler frequency shift, which can be extracted through the power spectrum without measuring incident angles. The experimental results show that the relative errors are below 0.5%.