Long-Term Stable and Multifeature Microfluidic Impedance Flow Cytometry Based on a Constricted Channel for Single-Cell Mechanical Phenotyping

化学 微流控 流式细胞术 频道(广播) 流量(数学) 期限(时间) 电阻抗 生物物理学 纳米技术 机械 电信 分子生物学 材料科学 物理 量子力学 计算机科学 生物 工程类 电气工程
作者
Shanshan Li,Chun‐Dong Xue,Si-Yu Hu,Yong-Jiang Li,Xiaoming Chen,Yan Zhao,Kai‐Rong Qin
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:96 (44): 17754-17764 被引量:5
标识
DOI:10.1021/acs.analchem.4c04097
摘要

The microfluidic impedance flow cytometer (m-IFC) using constricted microchannels is an appealing choice for the high-throughput measurement of single-cell mechanical properties. However, channels smaller than the cells are susceptible to irreversible blockage, extremely affecting the stability of the system and the throughput. Meanwhile, the common practice of extracting a single quantitative index, i.e., total cell passage time, through the constricted part is inadequate to decipher the complex mechanical properties of individual cells. Herein, this study presents a long-term stable and multifeature m-IFC based on a constricted channel for single-cell mechanical phenotyping. The blockage problem is effectively overcome by adding tiny xanthan gum (XG) polymers. The cells can pass through the constricted channel at a flow rate of 500 μL/h without clogging, exhibiting high throughput (∼240 samples per second) and long-term stability (∼2 h). Moreover, six detection regions were implemented to capture the multiple features related to the whole process of a single cell passing through the long-constricted channel, e.g., creep, friction, and relaxation stages. To verify the performance of the multifeature m-IFC, cells treated with perturbations of microtubules and microfilaments within the cytoskeleton were detected, respectively. It suggests that the extracted features provide more comprehensive clues for single-cell analysis in structural and mechanical transformation. Overall, our proposed multifeature m-IFC exhibits the advantages of nonclogging and high throughput, which can be extended to other cell types for nondestructive and real-time mechanical phenotyping in cost-effective applications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
热电CAT发布了新的文献求助10
1秒前
3秒前
pokexuejiao应助王123采纳,获得10
3秒前
4秒前
YANGYINGSHUO完成签到,获得积分10
4秒前
会飞的大象完成签到,获得积分10
5秒前
5秒前
桐桐应助yy采纳,获得10
6秒前
7秒前
山中居何处完成签到,获得积分10
8秒前
魁梧的人达完成签到,获得积分10
8秒前
复杂的海发布了新的文献求助10
9秒前
泸沽完成签到,获得积分10
11秒前
11秒前
斯文败类应助科研通管家采纳,获得10
11秒前
11秒前
无花果应助科研通管家采纳,获得10
11秒前
思源应助科研通管家采纳,获得10
11秒前
11秒前
爆米花应助科研通管家采纳,获得10
11秒前
科目三应助科研通管家采纳,获得10
11秒前
Pengzhuhuai发布了新的文献求助10
12秒前
酷波er应助科研通管家采纳,获得30
12秒前
Angela应助科研通管家采纳,获得10
12秒前
慕青应助科研通管家采纳,获得10
12秒前
豆芽完成签到,获得积分10
12秒前
慕青应助科研通管家采纳,获得10
12秒前
12秒前
西西笑嘻嘻完成签到,获得积分10
12秒前
韩笑应助科研通管家采纳,获得10
12秒前
CJH应助科研通管家采纳,获得30
12秒前
FashionBoy应助科研通管家采纳,获得10
12秒前
传奇3应助科研通管家采纳,获得10
12秒前
Angela应助科研通管家采纳,获得10
12秒前
美满柚子发布了新的文献求助10
16秒前
16秒前
Pengzhuhuai完成签到,获得积分10
19秒前
无语的问蕊完成签到 ,获得积分10
21秒前
kevin1018发布了新的文献求助10
21秒前
dkm发布了新的文献求助10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Atlas of Aligner Treatment and Planning A Case-Based Approach 1000
Geist der Kunst und Kultur 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7423175
求助须知:如何正确求助?哪些是违规求助? 9026169
关于积分的说明 19229128
捐赠科研通 7052735
什么是DOI,文献DOI怎么找? 3235417
关于科研通互助平台的介绍 2398444
邀请新用户注册赠送积分活动 2217750