Jeerapat Doungchawee, Laura J. Castellanos-García, Kristen N. Sikora, Xianzhi Zhang, Yuanchang Liu, Dheeraj K. Agrohia, Teerapong Jantarat, Joshua D. Lauterbach, Vincent M. Rotello and Richard W. Vachet*,
{"title":"","authors":"Jeerapat Doungchawee, Laura J. Castellanos-García, Kristen N. Sikora, Xianzhi Zhang, Yuanchang Liu, Dheeraj K. Agrohia, Teerapong Jantarat, Joshua D. Lauterbach, Vincent M. Rotello and Richard W. Vachet*, ","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 7","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":0.0,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/cbmi.4c00082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712562","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}
Pub Date : 2025-07-25eCollection Date: 2025-12-22DOI: 10.1021/cbmi.5c00042
Dongyu Fan, Nikita Kovalenko, Jagriti Chatterjee, Subhojyoti Chatterjee, Cong Xu, Emil Gillett, Christy F Landes
Image-based single-particle tracking (SPT) provides insight into complex transport within diverse biological and porous material structures, but its performance is constrained by motion blur and a low signal-to-noise ratio (SNR). Traditional SPT methods are sensitive to localization errors and often struggle with short trajectories and fast-moving emitters. In this work, we develop D-Blur, a U-Net-based convolutional neural network (CNN) algorithm designed to localize single particles and predict their diffusion coefficients (D) from motion-blurred point spread functions (PSFs). The obtained D values of emitters enable the reconstruction of diffusion maps on confined transport in porous materials. We validate the algorithm with simulated emitters in a heterogeneous environment, as well as the experimental data of free diffusers in a controlled diffusion environment. By directly extracting molecular dynamics from microscopy images without requiring trajectory linking, D-Blur overcomes key limitations of conventional SPT, providing a solution for subdiffraction diffusion maps within the native imaging flow of fluorescence microscopy. This work enhances diffusion analysis in complex systems and lays the foundation for future applications.
{"title":"D‑Blur: A Deep Learning Approach for Mapping Subdiffraction Diffusion with Motion-Blurred Images.","authors":"Dongyu Fan, Nikita Kovalenko, Jagriti Chatterjee, Subhojyoti Chatterjee, Cong Xu, Emil Gillett, Christy F Landes","doi":"10.1021/cbmi.5c00042","DOIUrl":"10.1021/cbmi.5c00042","url":null,"abstract":"<p><p>Image-based single-particle tracking (SPT) provides insight into complex transport within diverse biological and porous material structures, but its performance is constrained by motion blur and a low signal-to-noise ratio (SNR). Traditional SPT methods are sensitive to localization errors and often struggle with short trajectories and fast-moving emitters. In this work, we develop D-Blur, a U-Net-based convolutional neural network (CNN) algorithm designed to localize single particles and predict their diffusion coefficients (<i>D</i>) from motion-blurred point spread functions (PSFs). The obtained <i>D</i> values of emitters enable the reconstruction of diffusion maps on confined transport in porous materials. We validate the algorithm with simulated emitters in a heterogeneous environment, as well as the experimental data of free diffusers in a controlled diffusion environment. By directly extracting molecular dynamics from microscopy images without requiring trajectory linking, D-Blur overcomes key limitations of conventional SPT, providing a solution for subdiffraction diffusion maps within the native imaging flow of fluorescence microscopy. This work enhances diffusion analysis in complex systems and lays the foundation for future applications.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 12","pages":"849-856"},"PeriodicalIF":5.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12728762/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145835246","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}
Pub Date : 2025-07-24eCollection Date: 2025-12-22DOI: 10.1021/cbmi.5c00100
Tongqi Wang, Lixue Shi
{"title":"Bond-Selective Imaging at the Frontier of Biomedicine.","authors":"Tongqi Wang, Lixue Shi","doi":"10.1021/cbmi.5c00100","DOIUrl":"10.1021/cbmi.5c00100","url":null,"abstract":"","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 12","pages":"779-783"},"PeriodicalIF":5.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12728753/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145835279","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}
Pub Date : 2025-07-22eCollection Date: 2025-12-22DOI: 10.1021/cbmi.5c00043
Yalei Cao, Jie Yang, Bin Liu, Zhen Li
Chemiluminescence imaging, a highly sensitive and noninvasive modality, has emerged as an invaluable tool for bioimaging by virtue of its high signal-to-noise ratio and minimal background interference. The absence of an external excitation source enables chemiluminescent probes to directly convert chemical energy into light via oxidation reactions, yielding highly specific and quantifiable signals. Recent advances in small molecule-based chemiluminescent probes have opened further avenues for monitoring dynamic biological processes and pathological events in vivo, particularly those related to reactive oxygen and nitrogen species (RONS). These molecular probes are engineered to detect key RONS, such as singlet oxygen (1O2), hydrogen peroxide (H2O2), superoxide anions, peroxynitrite (ONOO-), superoxide anions (O2•-), and hypochlorite (ClO-), that play critical roles in oxidative stress, inflammation, cancer, and neurodegeneration. Their ability to offer real-time, quantitative insights into the presence and kinetics of RONS has significant implications for early disease diagnosis and targeted therapy. This review comprehensively summarizes the latest progress in the development of advanced chemiluminescent probes with simpler, more synthetically accessible, and modifiable structures that exhibit enhanced biocompatibility and broad application potential, while also discussing future challenges and opportunities in this rapidly evolving field.
{"title":"Recent Progress in Small Molecule-Based Chemiluminescent Probes for Reactive Oxygen and Nitrogen Species.","authors":"Yalei Cao, Jie Yang, Bin Liu, Zhen Li","doi":"10.1021/cbmi.5c00043","DOIUrl":"10.1021/cbmi.5c00043","url":null,"abstract":"<p><p>Chemiluminescence imaging, a highly sensitive and noninvasive modality, has emerged as an invaluable tool for bioimaging by virtue of its high signal-to-noise ratio and minimal background interference. The absence of an external excitation source enables chemiluminescent probes to directly convert chemical energy into light via oxidation reactions, yielding highly specific and quantifiable signals. Recent advances in small molecule-based chemiluminescent probes have opened further avenues for monitoring dynamic biological processes and pathological events <i>in vivo</i>, particularly those related to reactive oxygen and nitrogen species (RONS). These molecular probes are engineered to detect key RONS, such as singlet oxygen (<sup>1</sup>O<sub>2</sub>), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), superoxide anions, peroxynitrite (ONOO<sup>-</sup>), superoxide anions (O<sub>2</sub> <sup>•-</sup>), and hypochlorite (ClO<sup>-</sup>), that play critical roles in oxidative stress, inflammation, cancer, and neurodegeneration. Their ability to offer real-time, quantitative insights into the presence and kinetics of RONS has significant implications for early disease diagnosis and targeted therapy. This review comprehensively summarizes the latest progress in the development of advanced chemiluminescent probes with simpler, more synthetically accessible, and modifiable structures that exhibit enhanced biocompatibility and broad application potential, while also discussing future challenges and opportunities in this rapidly evolving field.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 12","pages":"792-804"},"PeriodicalIF":5.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12728755/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145835244","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}
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