Accurate isolation and detection of disseminated tumor cells from the malignant pleural effusion (MPE) is of significant clinical importance. Cytology is a routine diagnostic tool for the analysis of MPE. However, its...
详细信息
Accurate isolation and detection of disseminated tumor cells from the malignant pleural effusion (MPE) is of significant clinical importance. Cytology is a routine diagnostic tool for the analysis of MPE. However, its sensitivity is limited by the existence of a significant number of contaminating blood cells and relatively small and even rare number of target tumor cells in the effusion. To address this limitation, we proposed and developed multiplexed inertial microfluidic devices for fast and efficient isolation and purification of tumor cells from a large volume (> 50 mL) of pleural effusion sample in a label-free way. The rare tumor cells were separated from blood cells relying on the mechanism of size-based differential inertial focusing. The inertial focusing and separation performance of the single serpentine channel was characterized using polystyrene beads and cancer cells lines (A549 and MCF-7) spiked in blood. Subsequently, the multiplexed devices were developed by parallelizing serpentine channels in both planar and vertical directions (e.g., 8 and 24 parallel channel) and the separation was evaluated by the spiked tumor cells (recovery ratio - 80 % for the 8-channel device). Finally, we validated the performance of the multiplexed device using the clinical pleural effusion samples. Malignant tumor cells (MTCs) with a concentration of 49?4806 counts/mL were detected in all 5 pleural effusion samples, with an average purity of -30 %. We envision that the multiplexed device is a promising disposable tool towards the clinical applications, given the superiorities of simple structure, high throughput, low cost and good efficiency.
A new generalized optimum strapdown algorithm with coning and sculling compensation is presented, in which the position, velocity and attitude updating operations are carried out based on the single-speed structure in...
详细信息
A new generalized optimum strapdown algorithm with coning and sculling compensation is presented, in which the position, velocity and attitude updating operations are carried out based on the single-speed structure in which all computations are executed at a single updating rate that is sufficiently high to accurately account for high frequency angular rate and acceleration rectification effects. Different from existing algorithms, the updating rates of the coning and sculling compensations are unrelated with the number of the gyro incremental angle samples and the number of the accelerometer incremental velocity samples. When the output sampling rate of inertial sensors remains constant, this algorithm allows increasing the updating rate of the coning and sculling compensation, yet with more numbers of gyro incremental angle and accelerometer incremental velocity in order to improve the accuracy of system. Then, in order to implement the new strapdown algorithm in a single FPGA chip, the parallelization of the algorithm is designed and its computational complexity is analyzed. The performance of the proposed parallel strapdown algorithm is tested on the Xilinx ISE 12.3 software platform and the FPGA device XC6VLX550T hardware platform on the basis of some fighter data. It is shown that this parallel strapdown algorithm on the FPGA platform can greatly decrease the execution time of algorithm to meet the real-time and high precision requirements of system on the high dynamic environment, relative to the existing implemented on the DSP platform.
暂无评论