Lab on a Chip, Год журнала: 2024, Номер 24(4), С. 924 - 932
Опубликована: Янв. 1, 2024
Unbiased learning pipeline for label-free single-cell classification.
Язык: Английский
Advanced Materials, Год журнала: 2021, Номер 33(17)
Опубликована: Март 20, 2021
Abstract Gastric cancer (GC) is a multifactorial process, accompanied by alterations in metabolic pathways. Non‐invasive profiling facilitates GC diagnosis at early stage leading to an improved prognostic outcome. Herein, mesoporous PdPtAu alloys are designed characterize the profiles human blood. The elemental composition optimized with heterogeneous surface plasmonic resonance, offering preferred charge transfer for photoinduced desorption/ionization and enhanced photothermal conversion thermally driven desorption. structure of further tuned controlled mesopores, accommodating metabolites only, rather than large interfering compounds. Consequently, alloy yields direct fingerprints laser mass spectrometry seconds, consuming 500 nL native plasma. A distinct phenotype revealed sparse learning, resulting precise area under curve 0.942. It envisioned that will open up new era minimally invasive blood analysis improve surveillance patients clinical setting.
Язык: Английский
Процитировано
130
Nature Photonics, Год журнала: 2022, Номер 16(12), С. 851 - 859
Опубликована: Ноя. 10, 2022
Abstract Quantitative phase imaging has gained popularity in bioimaging because it can avoid the need for cell staining, which, some cases, is difficult or impossible. However, as a result, quantitative does not provide labelling of various specific intracellular structures. Here we show novel computational segmentation method based on statistical inference that makes possible techniques to identify nucleus. We demonstrate approach with refractive index tomograms stain-free cells reconstructed using tomographic microscopy flow cytometry mode. In particular, by means numerical simulations and two cancer lines, nucleus be accurately distinguished within tomograms. our experimental results are consistent confocal fluorescence data microfluidic cyto-fluorimeter outputs. This remarkable step towards directly extracting three-dimensional structures from contrast typical configuration.
Язык: Английский
Процитировано
77
Light Science & Applications, Год журнала: 2024, Номер 13(1)
Опубликована: Июнь 27, 2024
Abstract In 1948, Dennis Gabor proposed the concept of holography, providing a pioneering solution to quantitative description optical wavefront. After 75 years development, holographic imaging has become powerful tool for wavefront measurement and phase imaging. The emergence this technology given fresh energy physics, biology, materials science. Digital holography (DH) possesses advantages wide-field, non-contact, precise, dynamic capability complex-waves. DH unique capabilities propagation fields by measuring light scattering with information. It offers visualization refractive index thickness distribution weak absorption samples, which plays vital role in pathophysiology various diseases characterization materials. provides possibility bridge gap between disciplines. is described complex amplitude. complex-value complex-domain reconstructed from intensity-value camera real-domain. Here, we regard process recording reconstruction as transformation real-domain, discuss mathematics physical principles reconstruction. We review underlying principles, technical approaches, breadth applications. conclude emerging challenges opportunities based on combining other methodologies that expand scope utility even further. multidisciplinary nature brings application experts together label-free cell analytical chemistry, clinical sciences, sensing, semiconductor production.
Язык: Английский
Процитировано
35
Computational and Structural Biotechnology Journal, Год журнала: 2021, Номер 19, С. 2588 - 2596
Опубликована: Янв. 1, 2021
Single-cell omics technologies are currently solving biological and medical problems that earlier have remained elusive, such as discovery of new cell types, cellular differentiation trajectories communication networks across cells tissues. Current advances especially in single-cell multi-omics hold high potential for breakthroughs by integration multiple different layers. To pair with the recent biotechnological developments, many computational approaches to process analyze data been proposed. In this review, we first introduce developments general then focus on available strategies. The divided into three categories: early, intermediate, late integration. For each category, describe underlying conceptual principles main characteristics, well provide examples tools how they applied data. Finally, explore challenges prospective future directions integration, including adopting multi-view analysis used other disciplines multi-omics.
Язык: Английский
Процитировано
82
Small Methods, Год журнала: 2021, Номер 5(5)
Опубликована: Март 31, 2021
It is desirable for a sustainable society that the production and utilization of renewable materials are net-zero in terms carbon emissions. Carbon with emerging applications CO2 utilization, energy storage conversion, biomedicine have attracted much attention both academically industrially. However, preparation process some new suffers from consumption environmental pollution issues. Therefore, development low-cost, scalable, industrially economically attractive, material methods required. In this regard, use biomass its derivatives as precursor major feature sustainability. Recent advances synthetic strategy their summarized short review. Emphasis made on discussion original intentions various strategies producing materials. This review provides basic insights significant guidelines further design catalysis biomedical field.
Язык: Английский
Процитировано
71
Advanced NanoBiomed Research, Год журнала: 2021, Номер 1(6)
Опубликована: Март 3, 2021
Nanomaterials possess unique properties, including excellent electrochemical high surface area, and tunable electric conductivity, making them attractive for sensing applications, especially sensing. Notably, the compatibility of nanomaterials with other techniques opens up opportunities sensors in various biomedical applications. Herein, enhancing mechanisms preparation protocols sensors, regarding material choices, are introduced. The integration nanomaterial‐based toward precise health management controlled drug release is further highlighted. It concluded perspectives on future directions this topic. Future research challenges faced by commercialized implementation presented, paving way upcoming era accurate biosensing both academic industrial use.
Язык: Английский
Процитировано
67
Biosensors and Bioelectronics, Год журнала: 2021, Номер 181, С. 113147 - 113147
Опубликована: Март 7, 2021
Язык: Английский
Процитировано
62
Small, Год журнала: 2022, Номер 18(22)
Опубликована: Март 25, 2022
Abstract Circulating microRNAs (miRNAs) can be used as noninvasive biomarkers and are also found circulating in body fluids such blood. Dysregulated miRNA expression is associated with many diseases, including non‐small cell lung cancer (NSCLC), the assay helpful diagnosis, prognosis, monitoring. In this work, a versatile electrochemical biosensing system developed for detection by DNAzyme‐cleavage cycling amplification hybridization chain reaction (HCR) amplification. With cleavage Mn 2+ targeted DNAzyme, DNA‐walker move along predesigned DNA tracks contribute to transduction enhancement of signals. For process, formation multiple G‐quadruplex‐incorporated long double‐stranded (dsDNA/G‐quadruplex) structures triggered through HCR The introduction G‐quadruplex allows sensitive measurement down 5.68 fM good specificity. Furthermore, profiling NSCLC cohort, designed strategy shows high efficiency (area under curve (AUC) 0.879 using receiver operating characteristic (ROC) analysis) sensitivity 80.0% early diagnosis (stage I). discrimination benign disease, displays an AUC 0.907, superior six clinically‐acceptable protein tumor markers. Therefore, platform holds promise clinical application toward prognosis.
Язык: Английский
Процитировано
60
Lab on a Chip, Год журнала: 2022, Номер 22(4), С. 793 - 804
Опубликована: Янв. 1, 2022
Tomographic flow cytometry by digital holography is an emerging imaging modality capable of collecting multiple views moving and rotating cells with the aim recovering their refractive index distribution in 3D. Although this allows us to access high-resolution high-throughput, huge amount time-lapse holographic images be processed (hundreds holograms per cell) constitutes actual bottleneck. This prevents system from being suitable for lab-on-a-chip platforms real-world applications, where fast analysis measured data mandatory. Here we demonstrate a significant speeding-up reconstruction phase-contrast tomograms introducing processing pipeline multi-scale fully-convolutional context aggregation network. it was originally developed semantic image analysis, first time that can successfully adapted lab-on-chip platform achieving 3D through faster computational process. We trained network input-output pairs reproduce end-to-end process, i.e. quantitative phase maps (QPMs) single holograms. Then, sequence QPMs same cell used perform tomographic reconstruction. The proposed approach significantly reduces retrieving tomograms, thus making them available few seconds instead tens minutes, while essentially preserving high-content information data. Moreover, have accomplished compact deep convolutional neural parameterization fit into on-chip SRAM small memory footprint, demonstrating its possible exploitation provide onboard computations devices low hardware resources.
Язык: Английский
Процитировано
55
TrAC Trends in Analytical Chemistry, Год журнала: 2022, Номер 149, С. 116565 - 116565
Опубликована: Фев. 16, 2022
Язык: Английский
Процитировано
55