Non-invasive and label-free identification of human natural killer subclasses by biophysical single-cell features in microfluidic flow

Lab on a Chip ◽  
2021 ◽  
Author(s):  
David Dannhauser ◽  
Domenico Rossi ◽  
Anna T Palatucci ◽  
Valentina Rubino ◽  
Flavia Carriero ◽  
...  
Keyword(s):  
Single Cell ◽  
Natural Killer ◽  
Label Free ◽  
Therapeutic Treatment ◽  
Non Invasive ◽  
Microfluidic Flow

Natural Killer (NK) are indicated as favorite candidates for innovative therapeutic treatment and are divided in two subclasses: immature regulatory NK CD56bright and mature cytotoxic NK CD56dim. Therefore, the ability...

scholarly journals Towards high-throughput microfluidic Raman-activated cell sorting

The Analyst ◽  
2015 ◽  
Vol 140 (18) ◽  
pp. 6163-6174 ◽  
Author(s):  
Qiang Zhang ◽  
Peiran Zhang ◽  
Honglei Gou ◽  
Chunbo Mou ◽  
Wei E. Huang ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Cell Sorting ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Label Free ◽  
Non Invasive

Raman-activated cell sorting (RACS) is a promising single-cell analysis technology that is able to identify and isolate individual cells of targeted type, state or environment from an isogenic population or complex consortium of cells, in a label-free and non-invasive manner.

Neural Network Enhanced Real-Time Impedance Flow Cytometry for Single-Cell Intrinsic Characterization

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Yongxiang Feng ◽  
Zhen Cheng ◽  
Huichao Chai ◽  
Weihua He ◽  
Liang Huang ◽  
...  
Keyword(s):  
Neural Network ◽  
Flow Cytometry ◽  
Electrical Properties ◽  
Single Cell ◽  
Real Time ◽  
Label Free ◽  
Intrinsic Characterization ◽  
Non Invasive ◽  
Invasive Method ◽  
Sample Heterogeneity

Single-cell impedance flow cytometry (IFC) is emerging as a label-free and non-invasive method for characterizing the electrical properties and revealing the sample heterogeneity. At present, most IFC works utilized phenomenological...

A droplet-based microfluidic flow cytometry enabling absolute quantification of single-cell proteins leveraging constriction channel

2021 ◽  
Vol 25 (4) ◽  
Author(s):  
Hongyu Yang ◽  
Yuanchen Wei ◽  
Beiyuan Fan ◽  
Lixing Liu ◽  
Ting Zhang ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Single Cell ◽  
Absolute Quantification ◽  
Microfluidic Flow

scholarly journals Label-Free and Quantitative Dry Mass Monitoring for Single Cells during In Situ Culture

Cells ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1635
Author(s):  
Ya Su ◽  
Rongxin Fu ◽  
Wenli Du ◽  
Han Yang ◽  
Li Ma ◽  
...  
Keyword(s):  
Cell Growth ◽  
Single Cell ◽  
Hela Cells ◽  
Quantitative Measurement ◽  
Single Cells ◽  
Dry Mass ◽  
Quantitative Detection ◽  
Label Free ◽  
Mass Sensitivity

Quantitative measurement of single cells can provide in-depth information about cell morphology and metabolism. However, current live-cell imaging techniques have a lack of quantitative detection ability. Herein, we proposed a label-free and quantitative multichannel wide-field interferometric imaging (MWII) technique with femtogram dry mass sensitivity to monitor single-cell metabolism long-term in situ culture. We demonstrated that MWII could reveal the intrinsic status of cells despite fluctuating culture conditions with 3.48 nm optical path difference sensitivity, 0.97 fg dry mass sensitivity and 2.4% average maximum relative change (maximum change/average) in dry mass. Utilizing the MWII system, different intrinsic cell growth characteristics of dry mass between HeLa cells and Human Cervical Epithelial Cells (HCerEpiC) were studied. The dry mass of HeLa cells consistently increased before the M phase, whereas that of HCerEpiC increased and then decreased. The maximum growth rate of HeLa cells was 11.7% higher than that of HCerEpiC. Furthermore, HeLa cells were treated with Gemcitabine to reveal the relationship between single-cell heterogeneity and chemotherapeutic efficacy. The results show that cells with higher nuclear dry mass and nuclear density standard deviations were more likely to survive the chemotherapy. In conclusion, MWII was presented as a technique for single-cell dry mass quantitative measurement, which had significant potential applications for cell growth dynamics research, cell subtype analysis, cell health characterization, medication guidance and adjuvant drug development.

Label-free non-invasive classification of rice seeds using optical coherence tomography assisted with deep neural network

2021 ◽  
Vol 137 ◽  
pp. 106861
Author(s):  
Deepa Joshi ◽  
Ankit Butola ◽  
Sheetal Raosaheb Kanade ◽  
Dilip K. Prasad ◽  
S.V. Amitha Mithra ◽  
...  
Keyword(s):  
Neural Network ◽  
Optical Coherence Tomography ◽  
Deep Neural Network ◽  
Optical Coherence ◽  
Label Free ◽  
Non Invasive ◽  
Rice Seeds

scholarly journals Cell subtypes and immune dysfunction in peritoneal fluid of endometriosis revealed by single-cell RNA-sequencing

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gen Zou ◽  
Jianzhang Wang ◽  
Xinxin Xu ◽  
Ping Xu ◽  
Libo Zhu ◽  
...  
Keyword(s):  
Dendritic Cells ◽  
Single Cell ◽  
Natural Killer ◽  
Rna Sequencing ◽  
Peritoneal Cavity ◽  
Immune Cells ◽  
Peritoneal Fluid ◽  
Control Sample ◽  
Immune Dysfunction ◽  
Single Cell Rna Sequencing

Abstract Background Endometriosis is a refractory and recurrent disease and it affects nearly 10% of reproductive-aged women and 40% of infertile patients. The commonly accepted theory for endometriosis is retrograde menstruation where endometrial tissues invade into peritoneal cavity and fail to be cleared due to immune dysfunction. Therefore, the comprehensive understanding of immunologic microenvironment of peritoneal cavity deserves further investigation for the previous studies mainly focus on one or several immune cells. Results High-quality transcriptomes were from peritoneal fluid samples of patients with endometriosis and control, and firstly subjected to 10 × genomics single-cell RNA-sequencing. We acquired the single-cell transcriptomes of 10,280 cells from endometriosis sample and 7250 cells from control sample with an average of approximately 63,000 reads per cell. A comprehensive map of overall cells in peritoneal fluid was first exhibited. We unveiled the heterogeneity of immune cells and discovered new cell subtypes including T cell receptor positive (TCR+) macrophages, proliferating macrophages and natural killer dendritic cells in peritoneal fluid, which was further verified by double immunofluorescence staining and flow cytometry. Pseudo-time analysis showed that the response of macrophages to the menstrual debris might follow the certain differentiation trajectory after endometrial tissues invaded into the peritoneal cavity, that is, from antigen presentation to pro-inflammation, then to chemotaxis and phagocytosis. Our analyses also mirrored the dysfunctions of immune cells including decreased phagocytosis and cytotoxic activity and elevated pro-inflammatory and chemotactic effects in endometriosis. Conclusion TCR+ macrophages, proliferating macrophages and natural killer dendritic cells are firstly reported in human peritoneal fluid. Our results also revealed that immune dysfunction happens in peritoneal fluid of endometriosis, which may be responsible for the residues of invaded menstrual debris. It provided a large-scale and high-dimensional characterization of peritoneal microenvironment and offered a useful resource for future development of immunotherapy.

scholarly journals Non-Invasive Identification of Nutrient Components in Grain

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3124
Author(s):  
Charles Farber ◽  
A. S. M. Faridul Islam ◽  
Endang M. Septiningsih ◽  
Michael J. Thomson ◽  
Dmitry Kurouski
Keyword(s):  
Rice Variety ◽  
Nutrient Content ◽  
Plant Diseases ◽  
Variety Identification ◽  
Successful Implementation ◽  
Label Free ◽  
Accurate Identification ◽  
Analytical Technique ◽  
Non Invasive ◽  
Digital Farming

Digital farming is a modern agricultural concept that aims to maximize the crop yield while simultaneously minimizing the environmental impact of farming. Successful implementation of digital farming requires development of sensors to detect and identify diseases and abiotic stresses in plants, as well as to probe the nutrient content of seeds and identify plant varieties. Experimental evidence of the suitability of Raman spectroscopy (RS) for confirmatory diagnostics of plant diseases was previously provided by our team and other research groups. In this study, we investigate the potential use of RS as a label-free, non-invasive and non-destructive analytical technique for the fast and accurate identification of nutrient components in the grains from 15 different rice genotypes. We demonstrate that spectroscopic analysis of intact rice seeds provides the accurate rice variety identification in ~86% of samples. These results suggest that RS can be used for fully automated, fast and accurate identification of seeds nutrient components.

scholarly journals Tethered Lipid Membranes as a Nanoscale Arrangement Towards Non-Invasive Analysis of Acute Pancreatitis

Biomedicines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 755
Author(s):  
Rima Budvytyte ◽  
Akvile Milasiute ◽  
Dalius Vitkus ◽  
Kestutis Strupas ◽  
Aiste Gulla ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Lipid Membranes ◽  
Electrochemical Impedance ◽  
Membrane Integrity ◽  
Electrochemical Technique ◽  
Label Free ◽  
Non Invasive ◽  
Novel Approach ◽  
Analytical System ◽  
Shock Proteins

Extracellular heat shock proteins (HSPs) mediate immunological functions and are involved in pathologies such as infection, stress, and cancer. Here, we demonstrated the dependence of an amount of HSP70 and HSP90 in serum vs. severity of acute pancreatitis (AP) on a cohort of 49 patients. Tethered bilayer lipid membranes (tBLMs) have been developed to investigate HSPs’ interactions with tBLMs that can be probed by electrochemical impedance spectroscopy (EIS). The results revealed that HSP70 and HSP90 interact via different mechanisms. HSP70 shows the damage of the membrane, while HSP90 increases the insulation properties of tBLM. These findings provide evidence that EIS offers a novel approach for the study of the changes in membrane integrity induced by HSPs proteins. Herein, we present an alternative electrochemical technique, without any immunoprobes, that allows for the monitoring of HSPs on nanoscaled tBLM arrangement in biologics samples such us human urine. This study demonstrates the great potential of tBLM to be used as a membrane based biosensor for novel, simple, and non-invasive label-free analytical system for the prediction of AP severity.

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