Chemical & Biomedical Imaging最新文献_第10页

Chemical & Biomedical Imaging Pub Date : 2025-02-24

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Chemical & Biomedical Imaging Pub Date : 2025-02-24

Shalini Pandey, and , Arindam Ghosh*,

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Chemical & Biomedical Imaging Pub Date : 2025-02-24

Qianru Zhou, Yujie Wang, Guangxiang Si, Xingbiao Chen, Dan Mu* and Bing Zhang*,

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Chemical & Biomedical Imaging Pub Date : 2025-02-24

Sithurandi Ubeysinghe, Chloe O. Sebilleau, Waruna Thotamune, Chathuri Rajarathna, Samuel Azibere, Mithila Tennakoon, John L. Payton, Randy S. Sprague, R. Scott Martin, Steven J. Sucheck* and Ajith Karunarathne*,

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Synthesis and Characterization of a Novel Photocleavable Fluorescent Dye Dyad for Diffusion Imaging 一种新型光可切割扩散成像荧光染料的合成与表征

Chemical & Biomedical Imaging Pub Date : 2025-02-21 DOI: 10.1021/cbmi.4c0008410.1021/cbmi.4c00084

Damian Schöngen, and , Dominik Wöll*,

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引用次数: 0

Synthesis and Characterization of a Novel Photocleavable Fluorescent Dye Dyad for Diffusion Imaging. 一种新型光可切割扩散成像荧光染料的合成与表征。

Chemical & Biomedical Imaging Pub Date : 2025-02-21 eCollection Date: 2025-03-24 DOI: 10.1021/cbmi.4c00084

Damian Schöngen, Dominik Wöll

引用次数: 0

Label-Free Visualization and Segmentation of Endothelial Cell Mitochondria Using Holotomographic Microscopy and U-Net. 利用全息层析显微镜和U-Net技术对内皮细胞线粒体进行无标记可视化和分割。

Chemical & Biomedical Imaging Pub Date : 2025-02-18 eCollection Date: 2025-04-28 DOI: 10.1021/cbmi.4c00100

Raul Michael, Tallah Modirzadeh, Tahir Bachar Issa, Patrick Jurney

{"title":"Label-Free Visualization and Segmentation of Endothelial Cell Mitochondria Using Holotomographic Microscopy and U-Net.","authors":"Raul Michael, Tallah Modirzadeh, Tahir Bachar Issa, Patrick Jurney","doi":"10.1021/cbmi.4c00100","DOIUrl":"https://doi.org/10.1021/cbmi.4c00100","url":null,"abstract":"Understanding the physiological processes underlying cardiovascular disease (CVD) requires examination of endothelial cell (EC) mitochondrial networks, because mitochondrial function and adenosine triphosphate production are crucial in EC metabolism, and consequently influence CVD progression. Although current biochemical assays and immunofluorescence microscopy can reveal how mitochondrial function influences cellular metabolism, they cannot achieve live observation and tracking changes in mitochondrial networks through fusion and fission events. Holotomographic microscopy (HTM) has emerged as a promising technique for real-time, label-free visualization of ECs and their organelles, such as mitochondria. This nondestructive, noninterfering live cell imaging method offers unprecedented opportunities to observe mitochondrial network dynamics. However, because existing image processing tools based on immunofluorescence microscopy techniques are incompatible with HTM images, a machine-learning model is required. Here, we developed a model using a U-net learner with a Resnet18 encoder to identify four classes within HTM images: mitochondrial networks, cell borders, ECs, and background. This method accurately identifies mitochondrial structures and positions. With high accuracy and similarity metrics, the output image successfully provides visualization of mitochondrial networks within HTM images of ECs. This approach enables the study of mitochondrial networks and their effects, and holds promise in advancing understanding of CVD mechanisms.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 4","pages":"225-231"},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12042131/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058055","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

Label-Free Visualization and Segmentation of Endothelial Cell Mitochondria Using Holotomographic Microscopy and U-Net 利用全息层析显微镜和U-Net技术对内皮细胞线粒体进行无标记可视化和分割

Chemical & Biomedical Imaging Pub Date : 2025-02-18 DOI: 10.1021/cbmi.4c0010010.1021/cbmi.4c00100

Raul Michael, Tallah Modirzadeh, Tahir Bachar Issa and Patrick Jurney*,

{"title":"Label-Free Visualization and Segmentation of Endothelial Cell Mitochondria Using Holotomographic Microscopy and U-Net","authors":"Raul Michael, Tallah Modirzadeh, Tahir Bachar Issa and Patrick Jurney*, ","doi":"10.1021/cbmi.4c0010010.1021/cbmi.4c00100","DOIUrl":"https://doi.org/10.1021/cbmi.4c00100https://doi.org/10.1021/cbmi.4c00100","url":null,"abstract":"Understanding the physiological processes underlying cardiovascular disease (CVD) requires examination of endothelial cell (EC) mitochondrial networks, because mitochondrial function and adenosine triphosphate production are crucial in EC metabolism, and consequently influence CVD progression. Although current biochemical assays and immunofluorescence microscopy can reveal how mitochondrial function influences cellular metabolism, they cannot achieve live observation and tracking changes in mitochondrial networks through fusion and fission events. Holotomographic microscopy (HTM) has emerged as a promising technique for real-time, label-free visualization of ECs and their organelles, such as mitochondria. This nondestructive, noninterfering live cell imaging method offers unprecedented opportunities to observe mitochondrial network dynamics. However, because existing image processing tools based on immunofluorescence microscopy techniques are incompatible with HTM images, a machine-learning model is required. Here, we developed a model using a U-net learner with a Resnet18 encoder to identify four classes within HTM images: mitochondrial networks, cell borders, ECs, and background. This method accurately identifies mitochondrial structures and positions. With high accuracy and similarity metrics, the output image successfully provides visualization of mitochondrial networks within HTM images of ECs. This approach enables the study of mitochondrial networks and their effects, and holds promise in advancing understanding of CVD mechanisms.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 4","pages":"225–231 225–231"},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/cbmi.4c00100","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878400","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

Unveiling the Local Fate of Charge Carriers in Halide Perovskite Thin Films via Correlation Clustering Imaging 利用相关聚类成像揭示卤化物钙钛矿薄膜中载流子的局部命运

Chemical & Biomedical Imaging Pub Date : 2025-02-17 DOI: 10.1021/cbmi.4c0011310.1021/cbmi.4c00113

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

{"title":"Unveiling the Local Fate of Charge Carriers in Halide Perovskite Thin Films via Correlation Clustering Imaging","authors":"Sudipta Seth*, Boris Louis, Koki Asano, Toon Van Roy, Maarten B. J. Roeffaers, Elke Debroye, Ivan G. Scheblykin, Martin Vacha* and Johan Hofkens*, ","doi":"10.1021/cbmi.4c0011310.1021/cbmi.4c00113","DOIUrl":"https://doi.org/10.1021/cbmi.4c00113https://doi.org/10.1021/cbmi.4c00113","url":null,"abstract":"As the field of metal halide perovskites matures, a range of compositionally different perovskite films has found a place in efficient optoelectronic devices. These films feature variable local structural stability, carrier diffusion, and recombination, while there is still a lack of easy-to-implement generic protocols for high-throughput characterization of these variable properties. Correlation clustering imaging (CLIM) is a recently developed tool that resolves peculiarities of local photophysics by assessing the dynamics of photoluminescence detected by wide-field optical microscopy. We demonstrate the capability of CLIM as a high-throughput characterization tool of perovskite films using MAPbI3 (MAPI) and triple cation mixed halide (TCMH) perovskites as examples where it resolves the interplay of carrier diffusion, recombination, and defect dynamics. We found significant differences in the appearance of metastable defect states in these two films. Despite a better surface quality and larger grain size, MAPI films showed more pronounced effects of fluctuating defect states than did TCMH films. As CLIM shows a significant difference between materials known to lead to different solar cell efficiencies, it can be considered a tool for quality control of thin films for perovskite optoelectronic devices.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 4","pages":"244–252 244–252"},"PeriodicalIF":0.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/cbmi.4c00113","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878399","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

Unveiling the Local Fate of Charge Carriers in Halide Perovskite Thin Films via Correlation Clustering Imaging. 利用相关聚类成像揭示卤化物钙钛矿薄膜中载流子的局部命运。

Chemical & Biomedical Imaging Pub Date : 2025-02-17 eCollection Date: 2025-04-28 DOI: 10.1021/cbmi.4c00113

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

{"title":"Unveiling the Local Fate of Charge Carriers in Halide Perovskite Thin Films via Correlation Clustering Imaging.","authors":"Sudipta Seth, Boris Louis, Koki Asano, Toon Van Roy, Maarten B J Roeffaers, Elke Debroye, Ivan G Scheblykin, Martin Vacha, Johan Hofkens","doi":"10.1021/cbmi.4c00113","DOIUrl":"https://doi.org/10.1021/cbmi.4c00113","url":null,"abstract":"As the field of metal halide perovskites matures, a range of compositionally different perovskite films has found a place in efficient optoelectronic devices. These films feature variable local structural stability, carrier diffusion, and recombination, while there is still a lack of easy-to-implement generic protocols for high-throughput characterization of these variable properties. Correlation clustering imaging (CLIM) is a recently developed tool that resolves peculiarities of local photophysics by assessing the dynamics of photoluminescence detected by wide-field optical microscopy. We demonstrate the capability of CLIM as a high-throughput characterization tool of perovskite films using MAPbI3 (MAPI) and triple cation mixed halide (TCMH) perovskites as examples where it resolves the interplay of carrier diffusion, recombination, and defect dynamics. We found significant differences in the appearance of metastable defect states in these two films. Despite a better surface quality and larger grain size, MAPI films showed more pronounced effects of fluctuating defect states than did TCMH films. As CLIM shows a significant difference between materials known to lead to different solar cell efficiencies, it can be considered a tool for quality control of thin films for perovskite optoelectronic devices.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 4","pages":"244-252"},"PeriodicalIF":0.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12042016/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144050820","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