scholarly journals Differentiating and quantifying exosome secretion from a single cell using quasi-bound states in the continuum

Nanophotonics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 1081-1086 ◽  
Author(s):  
Abdoulaye Ndao ◽  
Liyi Hsu ◽  
Wei Cai ◽  
Jeongho Ha ◽  
Junhee Park ◽  
...  
Keyword(s):  
Single Cell ◽  
Optical Sensors ◽  
Figure Of Merit ◽  
Bound States ◽  
Single Cell Analysis ◽  
Optical Cavity ◽  
High Sensitivity ◽  
Cell Secretion ◽  
The Continuum ◽  
Refractive Index Detection

AbstractOne of the key challenges in biology is to understand how individual cells process information and respond to perturbations. However, most of the existing single-cell analysis methods can only provide a glimpse of cell properties at specific time points and are unable to provide cell secretion and protein analysis at single-cell resolution. To address the limits of existing methods and to accelerate discoveries from single-cell studies, we propose and experimentally demonstrate a new sensor based on bound states in the continuum to quantify exosome secretion from a single cell. Our optical sensors demonstrate high-sensitivity refractive index detection. Because of the strong overlap between the medium supporting the mode and the analytes, such an optical cavity has a figure of merit of 677 and sensitivity of 440 nm/RIU. Such results facilitate technological progress for highly conducive optical sensors for different biomedical applications.

High-throughput single-cell analysis of low copy number β-galactosidase by a laboratory-built high-sensitivity flow cytometer

2013 ◽  
Vol 48 ◽  
pp. 49-55 ◽  
Author(s):  
Lingling Yang ◽  
Tianxun Huang ◽  
Shaobin Zhu ◽  
Yingxing Zhou ◽  
Yunbin Jiang ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Copy Number ◽  
Single Cell Analysis ◽  
High Sensitivity ◽  
Flow Cytometer ◽  
Cell Analysis ◽  
Low Copy Number

scholarly journals Sensitive THz sensing based on Fano resonance in all-polymeric Bloch surface wave structure

Nanophotonics ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Chi Zhang ◽  
Qiang Liu ◽  
Xiao Peng ◽  
Zhengbiao Ouyang ◽  
Suling Shen
Keyword(s):  
Surface Wave ◽  
Quality Factor ◽  
Fano Resonance ◽  
Bound States ◽  
High Sensitivity ◽  
Influential Factors ◽  
Destructive Interference ◽  
Optimized Design ◽  
Bloch Surface Wave ◽  
The Continuum

Abstract Simultaneous realization of high quality factor (Q), sensitivity, and figure of merit (FOM) play a pivotal role in building the THz sensor. For such purpose, we propose an all-polymeric Bloch surface wave (BSW) structure that supports a bright BSW mode and a dark surface Fano state that is embedded in the continuum, both of which coupled to the same radiation channels. The existence of the sharp dip with a maximum depth of Fano line could be interpreted with the physics of Friedrich–Wintgen bound states in the continuum (FW-BICs), because of the destructive interference between bright BSW and dark surface Fano modes. A strong angular- and frequency-dependent Q was found. Related influential factors to Q value may also include an asymmetric arrangement of top and grating layers, together with the weak coupling provided by photonic crystals. One numerically optimized design shows a quality factor Q of the Fano mode as 23,670, which is almost two orders higher than that in conventional metallic-metamaterial-based designs. The optimized sensitivity can numerically reach 4.34 THz/RIU in the frequency domain, which is one order higher than that reported in all-dielectric metasurfaces. We infer the high sensitivity is related to the phase-matching condition provided by near-subwavelength gratings. The associated FOM can reach 8857/RIU. Besides, the proposed design also numerically demonstrates high sensitivity in the angular domain ∼125.5°/RIU. Considering it poses no specific requirement for materials that own high contrast of permittivity in the THz regime, large interfacing area, the mechanical and chemical robustness offered by polymers and low cost in fabrication, such all-polymeric BSW structure that supports novel Fano resonance in THz window may give access to rich applications in hazardous gas detection and label-free bio-sensing.

scholarly journals Advances in Imaging Modalities, Artificial Intelligence, and Single Cell Biomarker Analysis, and Their Applications in Cytopathology

2021 ◽  
Vol 8 ◽  
Author(s):  
Ryan P. Lau ◽  
Teresa H. Kim ◽  
Jianyu Rao
Keyword(s):  
Artificial Intelligence ◽  
Single Cell ◽  
Single Cell Analysis ◽  
High Sensitivity ◽  
Image Cytometry ◽  
Needle Aspiration ◽  
Great Promise ◽  
Routine Practice ◽  
Imaging Data ◽  
Biomarker Analysis

Several advances in recent decades in digital imaging, artificial intelligence, and multiplex modalities have improved our ability to automatically analyze and interpret imaging data. Imaging technologies such as optical coherence tomography, optical projection tomography, and quantitative phase microscopy allow analysis of tissues and cells in 3-dimensions and with subcellular granularity. Improvements in computer vision and machine learning have made algorithms more successful in automatically identifying important features to diagnose disease. Many new automated multiplex modalities such as antibody barcoding with cleavable DNA (ABCD), single cell analysis for tumor phenotyping (SCANT), fast analytical screening technique fine needle aspiration (FAST-FNA), and portable fluorescence-based image cytometry analyzer (CytoPAN) are under investigation. These have shown great promise in their ability to automatically analyze several biomarkers concurrently with high sensitivity, even in paucicellular samples, lending themselves well as tools in FNA. Not yet widely adopted for clinical use, many have successfully been applied to human samples. Once clinically validated, some of these technologies are poised to change the routine practice of cytopathology.

scholarly journals Single-cell analysis reveals the continuum of human lympho-myeloid progenitor cells

2017 ◽  
Vol 19 (1) ◽  
pp. 85-97 ◽  
Author(s):  
Dimitris Karamitros ◽  
Bilyana Stoilova ◽  
Zahra Aboukhalil ◽  
Fiona Hamey ◽  
Andreas Reinisch ◽  
...  
Keyword(s):  
Single Cell ◽  
Progenitor Cells ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Myeloid Progenitor ◽  
Myeloid Progenitor Cells ◽  
The Continuum

scholarly journals Identifying tumor cells at the single cell level

2021 ◽  
Author(s):  
Jan Dohmen ◽  
Artem Baranovskii ◽  
Bora Uyar ◽  
Jonathan Ronen ◽  
Vedran Franke ◽  
...  
Keyword(s):  
Single Cell ◽  
Tumor Cells ◽  
Biomarker Discovery ◽  
Single Cell Analysis ◽  
High Sensitivity ◽  
Simple Problem ◽  
Cancer Therapies ◽  
Single Cell Level ◽  
Cell Level

Tumors are highly complex tissues composed of cancerous cells, surrounded by a heterogeneous cellular microenvironment. Tumor response to treatments is governed by an interaction of cancer cell intrinsic factors with external influences of the tumor microenvironment. Disentangling the heterogeneity within a tumor is a crucial step in developing and utilization of effective cancer therapies. Single cell sequencing has the potential to revolutionize personalized medicine. In cancer therapy it enables an effective characterization of the complete heterogeneity within the tumor. A governing challenge in cancer single cell analysis is cell annotation, the assignment of a particular cell type or a cell state to each sequenced cell. We propose Ikarus, a machine learning pipeline aimed at solving a perceived simple problem, distinguishing tumor cells from normal cells at the single cell level. Automatic characterization of tumor cells is a critical limiting step for a multitude of research, clinical, and commercial applications. Automatic characterization of tumor cells would expedite neoantigen prediction, automatic characterization of tumor cell states, it would greatly facilitate cancer biomarker discovery. Such a tool can be used for automatic annotation of histopathological data, profiled using multichannel immunofluorescence or spatial sequencing. We have tested ikarus on multiple single cell datasets to ascertain that it achieves high sensitivity and specificity in multiple experimental contexts.

scholarly journals Detecting differential alternative splicing events in scRNA-seq with or without UMIs

2019 ◽  
Author(s):  
Yu Hu ◽  
Kai Wang ◽  
Mingyao Li
Keyword(s):  
Alternative Splicing ◽  
Single Cell ◽  
Rna Sequencing ◽  
Single Cell Analysis ◽  
High Sensitivity ◽  
Sequencing Depth ◽  
Cell Analysis ◽  
Technical Noise ◽  
Qrt Pcr ◽  
Single Cell Rna Sequencing

Analysis of alternative splicing in single-cell RNA sequencing (scRNA-seq) is challenging due to its inherent technical noise and generally low sequencing depth. We present SCATS (Single-Cell Analysis of Transcript Splicing) for differential alternative splicing (DAS) analysis for scRNA-seq data with or without unique molecular identifiers (UMIs). By modeling technical noise and grouping exons that originate from the same isoform(s), SCATS achieves high sensitivity to detect DAS events compared to Census, DEXSeq and MISO, and these events were confirmed by qRT-PCR experiment.

scholarly journals Lanthanide nanoparticles for high sensitivity multiparameter single cell analysis

2019 ◽  
Vol 10 (10) ◽  
pp. 2965-2974 ◽  
Author(s):  
Jothirmayanantham Pichaandi ◽  
Guangyao Zhao ◽  
Alexandre Bouzekri ◽  
Elsa Lu ◽  
Olga Ornatsky ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Single Cell Analysis ◽  
High Sensitivity ◽  
Cell Analysis ◽  
Mass Cytometry ◽  
Analytical Technique ◽  
In Cells

Mass cytometry (MC) is a high throughput multiparameter analytical technique for determining biomarker expression in cells.

An Asymmetric Grating Refractive Index Sensor Generating Quasi-Bound States in the Continuum with High Figure of Merit and Temperature Self-Compensation

2022 ◽  
Author(s):  
Qi Wang ◽  
Ju-Xin Jiang ◽  
Lei Wang ◽  
Xiang-Yu Yin ◽  
Xin Yan ◽  
...  
Keyword(s):  
Refractive Index ◽  
Figure Of Merit ◽  
Bound States ◽  
Field Component ◽  
Refractive Index Sensor ◽  
Detection Accuracy ◽  
Sensor Structure ◽  
High Figure ◽  
The Asymmetry ◽  
The Continuum

Abstract A subwavelength asymmetric grating refractive index (RI) sensor based on quasi-bound states in the continuum (q-BIC) with temperature self-compensation was proposed. The sensor structure consisted of a Prism / Asymmetric grating / Analytes, where the grating layers were periodically arranged asymmetric silicon (Si) and polydimethylsiloxane (PDMS). The asymmetry of the structure led to the fact that the tangential field component and the radiative field component in the grating layer were no longer in a fully decoupled state at the resonance position, creating two extremely narrow q-BIC resonance peaks, which gave the sensor a high Figure of Merit (FOM) and a low detection limit (DL). In addition, the thermo-optical coefficient of the materials made one of the resonance peaks more sensitive to temperature changes, realizing the temperature self-compensation of RI detection and thus improving the detection accuracy. From the results, reducing the asymmetry of the structure by modifying the parameters could theoretically make FOM > 5.1*106 RIU-1 and DL < 9.8*10-9 RIU. For the RI sensor with temperature self-compensation, FOM = 3057.85 RIU-1 and DL = 1.64*10-5 RIU for the RI, FOM = 0.88 °C-1 and DL = 0.057 °C for the temperature. These findings could effectively improve the temperature interference resistance of the sensor and thus the accuracy of trace substance detection.

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