Chemical & Biomedical Imaging最新文献_第4页

Chemical & Biomedical Imaging Pub Date : 2025-05-26

Li Fan*, Rui Wang, Qi Zan, Kunyi Zhao, Yuewei Zhang, Yunong Huang, Xue Yu*, Yongming Yang, Wenjing Lu, Shaomin Shuang, Xihua Yang* and Chuan Dong*,

引用次数: 0

Multimodal Phasor Approach to Study Breast Cancer Cell Invasion in a 3D Spheroid Model 在三维球体模型中研究乳腺癌细胞侵袭的多模态相量方法。

IF 5.7

Chemical & Biomedical Imaging Pub Date : 2025-05-15 DOI: 10.1021/cbmi.5c00021

Giulia Tedeschi, Francesco Palomba, Lorenzo Scipioni* and Michelle A. Digman*,

{"title":"Multimodal Phasor Approach to Study Breast Cancer Cell Invasion in a 3D Spheroid Model","authors":"Giulia Tedeschi, Francesco Palomba, Lorenzo Scipioni* and Michelle A. Digman*, ","doi":"10.1021/cbmi.5c00021","DOIUrl":"10.1021/cbmi.5c00021","url":null,"abstract":"We implemented a multimodal set of functional imaging techniques optimized for deep-tissue imaging to investigate how cancer cells invade surrounding tissues and how their physiological properties change in the process. As a model for cancer invasion of the extracellular matrix, we created 3D spheroids from triple-negative breast cancer cells (MDA-MB-231) and nontumorigenic breast epithelial cells (MCF-10A). We analyzed multiple hallmarks of cancer within the same spheroid by combining a number of imaging techniques, such as metabolic imaging of nicotinamide adenine dinucleotide by fluorescence lifetime imaging microscopy (NADH-FLIM), hyperspectral imaging of a solvatochromic lipophilic dye (Nile Red), and extracellular matrix imaging by second harmonic generation (SHG). We included phasor-based bioimage analysis of spheroids at three different time points, tracking both morphological and biological properties, including cellular metabolism, fatty acid storage, and collagen organization. Employing this multimodal deep-imaging framework, we observed and quantified cancer cell plasticity in response to changes in the environment composition.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 7","pages":"433–442"},"PeriodicalIF":5.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12308588/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144762329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unmixing Hyperspectral SRS Images in the Cell-Silent Region of the Raman Spectrum Using Phasor Analysis. 利用相量分析在拉曼光谱无噪区解混高光谱SRS图像。

IF 5.7

Chemical & Biomedical Imaging Pub Date : 2025-05-13 eCollection Date: 2025-09-22 DOI: 10.1021/cbmi.5c00023

William J Tipping, Gwyn W Gould, Karen Faulds, Duncan Graham

{"title":"Unmixing Hyperspectral SRS Images in the Cell-Silent Region of the Raman Spectrum Using Phasor Analysis.","authors":"William J Tipping, Gwyn W Gould, Karen Faulds, Duncan Graham","doi":"10.1021/cbmi.5c00023","DOIUrl":"10.1021/cbmi.5c00023","url":null,"abstract":"Hyperspectral stimulated Raman scattering (SRS) microscopy is rapidly becoming an established method for chemical and biomedical imaging due to the combination of high spatial resolution and chemical information contained within the three-dimensional data set. Chemometric analysis techniques based on linear unmixing, or multivariate analysis, have become indispensable when visualizing hyperspectral data sets. The application of spectral phasor analysis has also been extremely fruitful in this regard, providing a convenient method to retrieve the spatial and chemical components of the data set. Here, we demonstrate the application of spectral phasor analysis for unmixing the overlapping spectral features within the cell-silent region of the SRS spectrum (2000-2300 cm-1). In doing so, we show it is possible to identify specific Raman signals for DNA, proteins, and lipids following glucose-d7 metabolism in dividing cells. In addition, we show that spectral phasor analysis is capable of distinguishing different bioorthogonal Raman signals including alkynes and carbon-deuterium (C-D) bonds. We demonstrate the application of spectral phasor analysis for multicomponent unmixing of bioorthogonal Raman groups for high-content cellular imaging applications.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 9","pages":"630-635"},"PeriodicalIF":5.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12457996/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Singling Out the Electrochemiluminescence Profile in Microelectrode Arrays 微电极阵列中电化学发光谱的选取。

IF 5.7

Chemical & Biomedical Imaging Pub Date : 2025-05-09 DOI: 10.1021/cbmi.5c00022

Chiara Mariani, Alessandro Fracassa, Paolo Pastore, Sara Bogialli, Francesco Paolucci, Giovanni Valenti* and Alessandra Zanut*,

{"title":"Singling Out the Electrochemiluminescence Profile in Microelectrode Arrays","authors":"Chiara Mariani, Alessandro Fracassa, Paolo Pastore, Sara Bogialli, Francesco Paolucci, Giovanni Valenti* and Alessandra Zanut*, ","doi":"10.1021/cbmi.5c00022","DOIUrl":"10.1021/cbmi.5c00022","url":null,"abstract":"Among various electrochemical imaging techniques, electrochemiluminescence microscopy (ECLM) stands out as a powerful approach to visualize electrochemical reactions by converting localized reactivity into optical signals. This study investigates ECL light emission spatial distribution in a confined space by using microelectrode arrays (MEAs) fabricated on glassy carbon (GC) and gold (Au) substrates via thermal nanoimprint lithography (TNIL). With the Ru(bpy)32+/TPrA system, ECL imaging revealed distinct emission profiles, with Au exhibiting a broader spatial distribution compared to GC under identical geometric conditions. The estimated thickness of the ECL emitting layer (TEL) was significantly larger on Au (∼7 μm) than on GC (∼4 μm), attributed to the interplay between the electrode material and dominant ECL mechanism. Decreasing Ru(bpy)32+ concentration resulted in minimal perturbation of the GC ECL profile, consistent with a predominant oxidative–reductive mechanism. In contrast, a significant narrowing of the ECL profile was observed on Au, indicative of a transition from a catalytic to an oxidative–reductive pathway. These observations were corroborated and rationalized by finite element simulations. Our findings demonstrate the capacity to fine-tune the Thickness of the Emission Layer (TEL) and modulate ECL emission through electrode material selection and luminophore concentration. Such precise control has significant implications for the development of highly sensitive and spatially resolved bioanalytical assays, particularly those employing bead-based detection methodologies.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 7","pages":"462–469"},"PeriodicalIF":5.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12308587/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144762331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nanoscale Chemical Imaging of Basic Sites Distribution on Catalytically Active Mg–Al Mixed Oxide Particles 催化活性Mg-Al混合氧化物颗粒上碱性位分布的纳米化学成像

IF 5.7

Chemical & Biomedical Imaging Pub Date : 2025-05-05 DOI: 10.1021/cbmi.5c00017

Barak Friedman, Leo Giloni, Oz M. Gazit* and Elad Gross*,

{"title":"Nanoscale Chemical Imaging of Basic Sites Distribution on Catalytically Active Mg–Al Mixed Oxide Particles","authors":"Barak Friedman, Leo Giloni, Oz M. Gazit* and Elad Gross*, ","doi":"10.1021/cbmi.5c00017","DOIUrl":"https://doi.org/10.1021/cbmi.5c00017","url":null,"abstract":"The acid–base properties of catalytic materials play a crucial role in facilitating chemical transformations. Nanoscale structural heterogeneities within these catalysts can significantly affect the distribution, type, and strength of their acid–base sites, thereby influencing both localized and overall catalytic reactivity. In this study, high spatial-resolution chemical imaging of basic sites on supported Mg–Al mixed oxide (MgAlOx) particles, which serve as catalysts for aldol condensation reactions, was achieved using atomic force microscopy–infrared (AFM-IR) nanospectroscopy measurements while using formic acid as a chemical probe for surface basic sites detection. This approach enabled us to identify the distribution, geometry, and strength of basic sites with nanoscale precision. It was revealed that platelet MgAlOx particles predominantly exhibit a uniform bidentate adsorption of formic acid, whereas aggregates display a heterogeneous distribution of both monodentate and bidentate adsorption modes, indicating differences in the distribution, geometry, and strength of the basic sites. Additionally, upon exposure to formic acid, smaller particles underwent phase reconstruction, transitioning into cubic-like structures characterized by distinct bidentate adsorption of formic acid. This transformation was attributed to the rehydration and intercalation of formate species. The insights gained by conducting high spatial resolution nanospectroscopy measurements highlight the correlation between flat surfaces, characterized by a low density of surface defects, and a homogeneous distribution of basic sites, with a dominant bidentate adsorption mode of formic acid. These results emphasize the critical role of high spatial resolution chemical imaging in unraveling the link between structural features and acid–base functionality in catalytic materials.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 8","pages":"560–568"},"PeriodicalIF":5.7,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/cbmi.5c00017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chemical & Biomedical Imaging Pub Date : 2025-04-28

Jaume Ramon Otaegui, Deborah Sultan, Gyu Seong Heo and Yongjian Liu*,

引用次数: 0

Chemical & Biomedical Imaging Pub Date : 2025-04-28

Bishal Pokhrel, Fatiha Farhana, Li Zuo, Rebecca L. Stratton, Pravin Pokhrel, Mohammad Akter Hossain, Jiahao Ji, Hanbin Mao and Hao Shen*,

引用次数: 0

Chemical & Biomedical Imaging Pub Date : 2025-04-28

Sudipta Seth*, Boris Louis, Koki Asano, Toon Van Roy, Maarten B. J. Roeffaers, Elke Debroye, Ivan G. Scheblykin, Martin Vacha* and Johan Hofkens*,

引用次数: 0

Chemical & Biomedical Imaging Pub Date : 2025-04-28

引用次数: 0