Biomedical Engineering Letters最新文献_第9页

Homodyne time-of-flight acousto-optic imaging for low-gain photodetector. 低增益光电探测器的空差飞行时间声光成像。

IF 4.6 4区医学

Biomedical Engineering Letters Pub Date : 2022-11-19 eCollection Date: 2023-02-01 DOI: 10.1007/s13534-022-00252-w

Ahiad R Levi, Yoav Hazan, Aner Lev, Bruno G Sfez, Amir Rosenthal

{"title":"Homodyne time-of-flight acousto-optic imaging for low-gain photodetector.","authors":"Ahiad R Levi, Yoav Hazan, Aner Lev, Bruno G Sfez, Amir Rosenthal","doi":"10.1007/s13534-022-00252-w","DOIUrl":"10.1007/s13534-022-00252-w","url":null,"abstract":"Acousto-optics imaging (AOI) is a hybrid imaging modality that is capable of mapping the light fluence rate in deep tissue by local ultrasound modulation of the diffused photons. Since the intensity of the modulated photons is relatively low, AOI systems often rely on high-gain photodetectors, e.g. photomultiplier tubes (PMTs), which limit scalability due to size and cost and may significantly increase the relative shot-noise in the detected signal due to low quantum yields or gain noise. In this work, we have developed a homodyne AOI scheme in which the modulated photons are amplified by interference with a reference beam, enabling their detection with a single low-gain photodetector in reflection-mode configuration. We experimentally demonstrate our approach with a silicon photodiode, achieving over a 4-fold improvement in SNR in comparison to a PMT-based setup. The increased SNR manifested in lower background noise level thus enabling deeper imaging depths. The use of a fiber-based configuration enables the integration of our scheme in a hand-held AOI probe.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"13 1","pages":"49-56"},"PeriodicalIF":4.6,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873866/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9135784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep learning prediction of non-perfused volume without contrast agents during prostate ablation therapy. 深度学习预测前列腺消融治疗过程中无造影剂的非灌注体积。

IF 3.2 4区医学

Biomedical Engineering Letters Pub Date : 2022-11-08 eCollection Date: 2023-02-01 DOI: 10.1007/s13534-022-00250-y

Cameron Wright, Pietari Mäkelä, Alexandre Bigot, Mikael Anttinen, Peter J Boström, Roberto Blanco Sequeiros

{"title":"Deep learning prediction of non-perfused volume without contrast agents during prostate ablation therapy.","authors":"Cameron Wright, Pietari Mäkelä, Alexandre Bigot, Mikael Anttinen, Peter J Boström, Roberto Blanco Sequeiros","doi":"10.1007/s13534-022-00250-y","DOIUrl":"10.1007/s13534-022-00250-y","url":null,"abstract":"The non-perfused volume (NPV) is an important indicator of treatment success immediately after prostate ablation. However, visualization of the NPV first requires an injection of MRI contrast agents into the bloodstream, which has many downsides. Purpose of this study was to develop a deep learning model capable of predicting the NPV immediately after prostate ablation therapy without the need for MRI contrast agents. A modified 2D deep learning UNet model was developed to predict the post-treatment NPV. MRI imaging data from 95 patients who had previously undergone prostate ablation therapy for treatment of localized prostate cancer were used to train, validate, and test the model. Model inputs were T1/T2-weighted and thermometry MRI images, which were always acquired without any MRI contrast agents and prior to the final NPV image on treatment-day. Model output was the predicted NPV. Model accuracy was assessed using the Dice-Similarity Coefficient (DSC) by comparing the predicted to ground truth NPV. A radiologist also performed a qualitative assessment of NPV. Mean (std) DSC score for predicted NPV was 85% ± 8.1% compared to ground truth. Model performance was significantly better for slices with larger prostate radii (> 24 mm) and for whole-gland rather than partial ablation slices. The predicted NPV was indistinguishable from ground truth for 31% of images. Feasibility of predicting NPV using a UNet model without MRI contrast agents was clearly established. If developed further, this could improve patient treatment outcomes and could obviate the need for contrast agents altogether. Trial Registration Numbers Three studies were used to populate the data: NCT02766543, NCT03814252 and NCT03350529.Supplementary information: The online version contains supplementary material available at 10.1007/s13534-022-00250-y.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"13 1","pages":"31-40"},"PeriodicalIF":3.2,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873841/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10575333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Human lower limb activity recognition techniques, databases, challenges and its applications using sEMG signal: an overview. 基于表面肌电信号的人类下肢活动识别技术、数据库、挑战及其应用综述。

IF 4.6 4区医学

Biomedical Engineering Letters Pub Date : 2022-11-01 DOI: 10.1007/s13534-022-00236-w

Ankit Vijayvargiya, Bharat Singh, Rajesh Kumar, João Manuel R S Tavares

{"title":"Human lower limb activity recognition techniques, databases, challenges and its applications using sEMG signal: an overview.","authors":"Ankit Vijayvargiya, Bharat Singh, Rajesh Kumar, João Manuel R S Tavares","doi":"10.1007/s13534-022-00236-w","DOIUrl":"https://doi.org/10.1007/s13534-022-00236-w","url":null,"abstract":"Human lower limb activity recognition (HLLAR) has grown in popularity over the last decade mainly because to its applications in the identification and control of neuromuscular disorders, security, robotics, and prosthetics. Surface electromyography (sEMG) sensors provide various advantages over other wearable or visual sensors for HLLAR applications, including quick response, pervasiveness, no medical monitoring, and negligible infection. Recognizing lower limb activity from sEMG signals is also challenging owing to the noise in the sEMG signal. Pre- processing of sEMG signals is extremely desirable before the classification because they allow a more consistent and precise evaluation in the above applications. This article provides a segment-by-segment overview of: (1) Techniques for eliminating artifacts from sEMG signals from the lower limb. (2) A survey of existing datasets of lower limb sEMG. (3) A concise description of the various techniques for processing and classifying sEMG data for various applications involving lower limb activity. Finally, an open discussion is presented, which may result in the identification of a variety of future research possibilities for human lower limb activity recognition. Therefore, it is possible to anticipate that the framework presented in this study can aid in the advancement of sEMG-based recognition of human lower limb activity.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"12 4","pages":"343-358"},"PeriodicalIF":4.6,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550908/pdf/13534_2022_Article_236.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9703057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Automatic sleep stages classification using multi-level fusion. 自动睡眠阶段分类使用多层次融合。

IF 4.6 4区医学

Biomedical Engineering Letters Pub Date : 2022-11-01 DOI: 10.1007/s13534-022-00244-w

Hyungjik Kim, Seung Min Lee, Sunwoong Choi

{"title":"Automatic sleep stages classification using multi-level fusion.","authors":"Hyungjik Kim, Seung Min Lee, Sunwoong Choi","doi":"10.1007/s13534-022-00244-w","DOIUrl":"https://doi.org/10.1007/s13534-022-00244-w","url":null,"abstract":"Sleep efficiency is a factor that can determine a person's healthy life. Sleep efficiency can be calculated by analyzing the results of the sleep stage classification. There have been many studies to classify sleep stages automatically using multiple signals to improve the accuracy of the sleep stage classification. The fusion method is used to process multi-signal data. Fusion methods include data-level fusion, feature-level fusion, and decision-level fusion methods. We propose a multi-level fusion method to increase the accuracy of the sleep stage classification when using multi-signal data consisting of electroencephalography and electromyography signals. First, we used feature-level fusion to fuse the extracted features using a convolutional neural network for multi-signal data. Then, after obtaining each classified result using the fused feature data, the sleep stage was derived using a decision-level fusion method that fused classified results. We used public datasets, Sleep-EDF, to measure performance; we confirmed that the proposed multi-level fusion method yielded a higher accuracy of 87.2%, respectively, compared to single-level fusion method and more existing methods. The proposed multi-level fusion method showed the most improved performance in classifying N1 stage, where existing methods had the lowest performance.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"12 4","pages":"413-420"},"PeriodicalIF":4.6,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550904/pdf/13534_2022_Article_244.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9965888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Detection of gait variations by using artificial neural networks. 基于人工神经网络的步态变化检测。

IF 4.6 4区医学

Biomedical Engineering Letters Pub Date : 2022-11-01 DOI: 10.1007/s13534-022-00230-2

Cem Guzelbulut, Satoshi Shimono, Kazuo Yonekura, Katsuyuki Suzuki

{"title":"Detection of gait variations by using artificial neural networks.","authors":"Cem Guzelbulut, Satoshi Shimono, Kazuo Yonekura, Katsuyuki Suzuki","doi":"10.1007/s13534-022-00230-2","DOIUrl":"https://doi.org/10.1007/s13534-022-00230-2","url":null,"abstract":"Walking is an everyday activity and contains variations from person to person, from one step to another step. The variation may occur due to the uniqueness of each gait cycle, personal parameters, such as age, walking speed, etc., and the existence of a gait abnormality. Understanding the normal variation depending on personal parameters helps medical experts to identify deviations from normal gait and engineers to design compatible orthotic and prosthetic products. In the present study, we aimed to obtain normal gait variations based on age, sex, height, weight, and walking speed. For this purpose, a large dataset of walking trials was used to model normal walking. An artificial neural network-based gait characterization model is proposed to show the relation between personal parameters and gait parameters. The neural network model simulates normal walking by considering the effect of personal parameters. The predicted behavior of gait parameters by artificial neural network model has a similarity with existing literature. The differences between experimental data and the neural network model were calculated. To determine how much deviation between predictions and experiments can be considered excessive, the distributions of differences for each gait parameter were obtained. The phases of walking in which excessive differences were intensified were determined. It was revealed that the artificial neural network-based gait characterization model exhibits the behavior of the normal gait parameters depending on the personal parameters.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"12 4","pages":"369-379"},"PeriodicalIF":4.6,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550917/pdf/13534_2022_Article_230.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9527669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Clinical application of deep learning-based synthetic CT from real MRI to improve dose planning accuracy in Gamma Knife radiosurgery: a proof of concept study. 基于深度学习的合成CT在真实MRI中的临床应用，以提高伽玛刀放射外科的剂量计划准确性:概念验证研究。

IF 4.6 4区医学

Biomedical Engineering Letters Pub Date : 2022-11-01 DOI: 10.1007/s13534-022-00227-x

So Hee Park, Dong Min Choi, In-Ho Jung, Kyung Won Chang, Myung Ji Kim, Hyun Ho Jung, Jin Woo Chang, Hwiyoung Kim, Won Seok Chang

{"title":"Clinical application of deep learning-based synthetic CT from real MRI to improve dose planning accuracy in Gamma Knife radiosurgery: a proof of concept study.","authors":"So Hee Park, Dong Min Choi, In-Ho Jung, Kyung Won Chang, Myung Ji Kim, Hyun Ho Jung, Jin Woo Chang, Hwiyoung Kim, Won Seok Chang","doi":"10.1007/s13534-022-00227-x","DOIUrl":"https://doi.org/10.1007/s13534-022-00227-x","url":null,"abstract":"Dose planning for Gamma Knife radiosurgery (GKRS) uses the magnetic resonance (MR)-based tissue maximum ratio (TMR) algorithm, which calculates radiation dose without considering heterogeneous radiation attenuation in the tissue. In order to plan the dose considering the radiation attenuation, the Convolution algorithm should be used, and additional radiation exposure for computed tomography (CT) and registration errors between MR and CT are entailed. This study investigated the clinical feasibility of synthetic CT (sCT) from GKRS planning MR using deep learning. The model was trained using frame-based contrast-enhanced T1-weighted MR images and corresponding CT slices from 54 training subjects acquired for GKRS planning. The model was applied prospectively to 60 lesions in 43 patients including benign tumor such as meningioma and pituitary adenoma, metastatic brain tumors, and vascular disease of various location for evaluating the model and its application. We evaluated the sCT and compared between treatment plans made with MR only (TMR 10 plan), MR and real CT (rCT; Convolution with rCT [Conv-rCT] plan), and MR and synthetic CT (Convolution with sCT [Conv-sCT] plan). The mean absolute error (MAE) of 43 sCT was 107.35 ± 16.47 Hounsfield units. The TMR 10 treatment plan differed significantly from plans made by Conv-sCT and Conv-rCT. However, the Conv-sCT and Conv-rCT plans were similar. This study showed the practical applicability of deep learning based on sCT in GKRS. Our results support the possibility of formulating GKRS treatment plans while considering radiation attenuation in the tissue using GKRS planning MR and no radiation exposure.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"12 4","pages":"359-367"},"PeriodicalIF":4.6,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550914/pdf/13534_2022_Article_227.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9978529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The evaluation of seismocardiogram signal pre-processing using hybridized variational mode decomposition method. 用杂交变分模态分解方法评价地震心动图信号预处理。

IF 4.6 4区医学

Biomedical Engineering Letters Pub Date : 2022-11-01 DOI: 10.1007/s13534-022-00235-x

Dziban Naufal, Miftah Pramudyo, Tati Latifah Erawati Rajab, Agung Wahyu Setiawan, Trio Adiono

{"title":"The evaluation of seismocardiogram signal pre-processing using hybridized variational mode decomposition method.","authors":"Dziban Naufal, Miftah Pramudyo, Tati Latifah Erawati Rajab, Agung Wahyu Setiawan, Trio Adiono","doi":"10.1007/s13534-022-00235-x","DOIUrl":"https://doi.org/10.1007/s13534-022-00235-x","url":null,"abstract":"This study aims to determine the performance of variational mode decomposition (VMD) combined with detrended fluctuation analysis (DFA) as a hybrid framework for extracting seismocardiogram and respiration signals from simulated single-channel accelerometry data and removing its contained noise. The method consists of two consecutive layers of VMD that each contribute to extracting respiration and SCG signal respectively. DFA is utilized to determine the number of modes produced by VMD and select the most appropriate modes to be the constituents of the reconstructed signal based on the Hurst exponent value thresholding. This hybridized VMD successfully extracted respiration and SCG signal with minimal mean absolute error value (0.516 and 0.849, respectively) and boosted the SNR to 2 dB and 4 dB, respectively in heavily noise-interfered conditions. This method also outperformed other empirical mode decomposition strategies and exhibits short computational time. Two main drawbacks exist in this framework, i.e. the determination of balancing parameter ( <math><mi>γ</mi></math> ) that is still conducted manually and the magnitude shifting phenomenon. In conclusion, the hybridized VMD shows an outstanding performance in denoising and extracting respiration and SCG signals from a single input that combines them and generally is impured by noise.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"12 4","pages":"381-392"},"PeriodicalIF":4.6,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550903/pdf/13534_2022_Article_235.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9578530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Co-culture platform for neuron-astrocyte interaction using optogenetic modulation. 利用光遗传调制的神经元-星形胶质细胞相互作用共培养平台。

IF 4.6 4区医学

Biomedical Engineering Letters Pub Date : 2022-11-01 DOI: 10.1007/s13534-022-00243-x

Seoyoung Hwang, Yena Lee, Sang Beom Jun

{"title":"Co-culture platform for neuron-astrocyte interaction using optogenetic modulation.","authors":"Seoyoung Hwang, Yena Lee, Sang Beom Jun","doi":"10.1007/s13534-022-00243-x","DOIUrl":"https://doi.org/10.1007/s13534-022-00243-x","url":null,"abstract":"For decades, the role of glial cells has attracted attention in the neuroscience field. Particularly, although the astrocyte is the most abundant glial cell type, it was believed to function as a passive support cell. However, recent evidence suggests that astrocytes actively release various gliotransmitters and signaling entities that regulate the excitability of pre-and post-synaptic neurons in the brain. In this study, we optimized the ratio of astrocytes and neurons to investigate the interaction between astrocytes and neurons. To this end, postnatal day 0-1 rodent hippocampi were dissociated and cultured. The neuron-astrocyte ratio was monitored for up to 3 weeks after treating the cultures with 0, 1, and 5 µM of cytosine arabinoside (Ara-C) at DIV 2. Subsequently, from postnatal transgenic (TG) mouse expressing ChR2 on astrocytes, hippocampi were cultured on the microelectrode array (MEA) with the desired neuron-astrocyte ratio. The astrocyte was irradiated using a 473 nm blue laser for 30 s in a cycle of 10 Hz and electrophysiological recording was performed to verify the activities of neurons induced by the stimulated astrocytes. Astrocytes and neurons in both co-cultures increased at an identical ratio when treated with 1 µM Ara-C, whereas they decreased significantly when treated with 5 µM Ara-C. Particularly, the laser-stimulated astrocytes induced an increase in the frequency of neuronal activities and lasted after illumination. The proposed co-culture platform is expected to be used in experiments to investigate the network between astrocytes and neurons in vitro.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"12 4","pages":"401-411"},"PeriodicalIF":4.6,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550905/pdf/13534_2022_Article_243.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9978868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploiting moving slope features of PPG derivatives for estimation of mean arterial pressure. 利用PPG导数的移动斜率特征来估计平均动脉压。

IF 4.6 4区医学

Biomedical Engineering Letters Pub Date : 2022-09-23 eCollection Date: 2023-02-01 DOI: 10.1007/s13534-022-00247-7

Shresth Gupta, Anurag Singh, Abhishek Sharma

{"title":"Exploiting moving slope features of PPG derivatives for estimation of mean arterial pressure.","authors":"Shresth Gupta, Anurag Singh, Abhishek Sharma","doi":"10.1007/s13534-022-00247-7","DOIUrl":"10.1007/s13534-022-00247-7","url":null,"abstract":"Monitoring Mean Arterial Pressure (MAP) helps calculate the arteries' flow, resistance, and pressure. It allows doctors to check how well the blood flows through our body and reaches all major organs. Photoplethysmogram technology is gaining momentum and popularity in smart wearable devices to monitor cuff-less blood pressure (BP). However, the performance reliability of the existing PPG-based BP estimation devices is still poor. Inaccuracy in estimating systolic and diastolic blood pressure leads to an overall imprecision in resultant MAP values. Hence, there is a need for robust and reliable MAP estimation algorithms. This work exploits the moving slope features of PPG contour in its first and second derivatives that directly correlate with MAP and does not require estimating systolic and diastolic blood pressure values. The proposed approach is evaluated using two different data sets (i.e., MIMIC-I and MIMIC-II) to demonstrate the robustness and reliability of the work for personalized non-invasive BP monitoring devices to estimate MAP directly. A mean absolute error of <math><mrow><mn>1.28</mn> <mi>mmHg</mi></mrow> </math> and a standard deviation of <math><mrow><mn>2.50</mn> <mi>mmHg</mi></mrow> </math> is obtained with MIMIC-II data-set using GridSearchCV random forest regressor that outperformed most of the existing related works.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"13 1","pages":"1-9"},"PeriodicalIF":4.6,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873885/pdf/13534_2022_Article_247.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9135785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Separation of motile human sperms in a T-shaped sealed microchannel. 在t形密封微通道中分离活动的人类精子。

IF 4.6 4区医学

Biomedical Engineering Letters Pub Date : 2022-08-01 DOI: 10.1007/s13534-022-00229-9

Nikhil S Mane, Dhiraj B Puri, Sanjay Mane, Vadiraj Hemadri, Arnab Banerjee, Siddhartha Tripathi

{"title":"Separation of motile human sperms in a T-shaped sealed microchannel.","authors":"Nikhil S Mane, Dhiraj B Puri, Sanjay Mane, Vadiraj Hemadri, Arnab Banerjee, Siddhartha Tripathi","doi":"10.1007/s13534-022-00229-9","DOIUrl":"https://doi.org/10.1007/s13534-022-00229-9","url":null,"abstract":"Microfluidic methods act as an effective motile sperm separation technique used in infertility treatments. This work presents a standalone microfluidic device to separate motile sperm cells from non-motile sperm cells and debris. The separation mechanism is based on the centrifugal force acting on sperms and the ability of progressive motile sperms to swim upstream. The separation of motile sperm is carried out using a simple T-shaped microchannel which constitutes three reservoirs: one inlet and two outlets. Herein, one of the outlets is kept sealed. The sealed channel leads to a high-velocity gradient and a rheotaxis zone at the T junction resulting in the separation of motile sperms. Separated sperms are isolated in a sealed channel with a low Reynolds number flow so that sperms cannot have a net displacement, which ensures that the sperms do not re-enter the fluid flow. CFD simulation is conducted to study the flow fields inside the channel and experimental investigation is carried to observe the separation behaviour of sperms. The reported device provides 100% sperm separation efficiency and ensures the entrapment of sperm cells for a longer period. A modified colorimetric nitroblue tetrazolium test conducted on separated sperm cells shows that there is only a marginal increase in superoxide (O2 -) production, proving normal sperm integrity. This device offers an effective and safe alternative to conventional sperm sorting methods.Supplementary information: The online version contains supplementary material available at 10.1007/s13534-022-00229-9.","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"12 3","pages":"331-342"},"PeriodicalIF":4.6,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308853/pdf/13534_2022_Article_229.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9825045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2