Chemical & Biomedical Imaging最新文献

{"title":"Efficient 3D Biomedical Image Segmentation by Parallelly Multiscale Transformer–CNN Aggregation Network","authors":"Wei Liu,&nbsp;Yuxiao He,&nbsp;Tiantian Man*,&nbsp;Fulin Zhu,&nbsp;Qiaoliang Chen,&nbsp;Yaqi Huang,&nbsp;Xuyu Feng,&nbsp;Bin Li,&nbsp;Ying Wan,&nbsp;Jian He* and Shengyuan Deng*,&nbsp;","doi":"10.1021/cbmi.4c00102","DOIUrl":"https://doi.org/10.1021/cbmi.4c00102","url":null,"abstract":"<p >Accurate and automated segmentation of 3D biomedical images is a sophisticated imperative in clinical diagnosis, imaging-guided surgery, and prognosis judgment. Although the burgeoning of deep learning technologies has fostered smart segmentators, the successive and simultaneous garnering global and local features still remains challenging, which is essential for an exact and efficient imageological assay. To this end, a segmentation solution dubbed the mixed parallel shunted transformer (MPSTrans) is developed here, highlighting 3D-MPST blocks in a U-form framework. It enabled not only comprehensive characteristic capture and multiscale slice synchronization but also deep supervision in the decoder to facilitate the fetching of hierarchical representations. Performing on an unpublished colon cancer data set, this model achieved an impressive increase in dice similarity coefficient (DSC) and a 1.718 mm decease in Hausdorff distance at 95% (HD95), alongside a substantial shrink of computational load of 56.7% in giga floating-point operations per second (GFLOPs). Meanwhile, MPSTrans outperforms other mainstream methods (Swin UNETR, UNETR, nnU-Net, PHTrans, and 3D U-Net) on three public multiorgan (aorta, gallbladder, kidney, liver, pancreas, spleen, stomach, etc.) and multimodal (CT, PET-CT, and MRI) data sets of medical segmentation decathlon (MSD) brain tumor, multiatlas labeling beyond cranial vault (BCV), and automated cardiac diagnosis challenge (ACDC), accentuating its adaptability. These results reflect the potential of MPSTrans to advance the state-of-the-art in biomedical imaging analysis, which would offer a robust tool for enhanced diagnostic capacity.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 8","pages":"522–533"},"PeriodicalIF":5.7,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/cbmi.4c00102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892578","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}

{"title":"Single-Molecule Fluorescence Microscopy Reveals Energy Transfer Active versus Inactive Nanocrystal/Dye Conjugate Pairs","authors":"Danielle R. Lustig,&nbsp;Enes Buz,&nbsp;Olivia F. Bird,&nbsp;Justin T. Mulvey,&nbsp;Pushp Raj Prasad,&nbsp;Joseph P. Patterson,&nbsp;Gordana Dukovic,&nbsp;Kevin R. Kittilstved and Justin B. Sambur*,&nbsp;","doi":"10.1021/cbmi.5c00009","DOIUrl":"https://doi.org/10.1021/cbmi.5c00009","url":null,"abstract":"<p >Defect-mediated energy transfer (EnT) is a radiative process that occurs between donor defect states in the forbidden bandgap of semiconductor nanocrystals (NCs) and dye molecules bound to their surfaces. The EnT efficiency depends on the number of dye molecules attached to each NC, the donor–acceptor distance, and the dipole orientation factor between the donor and acceptor, all of which vary across <i>all</i> individual NCs in a sample. While ensemble-level fluorescence spectroscopy measurements have provided <i>average</i> values for donor–acceptor distances, dye-to-NC ratios, and EnT rate constants, questions remain about the impact of donor/acceptor heterogeneity on observed EnT efficiencies. Notably, ensemble-level measurements cannot distinguish between bare NCs and EnT-active versus inactive NC/dye pairs in the same sample batch, limiting the ability to design systems with 100% EnT efficiency. To address this, we studied defect-mediated EnT between AlexaFluor 555 dye acceptors chemically bound to ZnO NC donors at the level of single molecules and single NCs. Interestingly, 20% of bound NC/dye pairs are EnT-inactive, likely contributing to residual defect photoluminescence (PL) observed in ensemble-level measurements and reducing overall EnT efficiency. Single particle-level ZnO defect PL and acceptor fluorescence trajectories exhibited distinct microfluctuations, which are absent in bare ZnO NCs. We hypothesized that our observations can be explained with a competitive dye fluorescence quenching pathway, possibly due to charge transfer between the excited state dye and the ZnO NC. Numerical simulations of single-molecule PL traces for this scenario produced microfluctuations consistent with the experimental results. These findings highlight the impact of sample heterogeneity on EnT processes and provide insights for designing light-harvesting systems with optimized EnT efficiency.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 8","pages":"547–559"},"PeriodicalIF":5.7,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/cbmi.5c00009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892577","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}

{"title":"Exploring Carbon Dot as a Fluorescent Nanoprobe for Imaging of Plant Cells under Salt/Heat-Induced Stress Conditions","authors":"Khurram Abbas,&nbsp; Usama,&nbsp;Weixia Qin,&nbsp;Haimei Zhu,&nbsp;Yuan Li,&nbsp;Zijian Li,&nbsp;Muhammad Imran and Hong Bi*,&nbsp;","doi":"10.1021/cbmi.4c00109","DOIUrl":"https://doi.org/10.1021/cbmi.4c00109","url":null,"abstract":"<p >Carbon dots (CDs) have emerged as promising nanomaterials for bioimaging and stress monitoring due to their unique optical and functional properties. CDs were synthesized using citric acid and <i>o</i>-phenylenediamine via microwave-assisted heating, named as CP-CDs. High-resolution transmission electron microscopy observed an average particle size of 3.65 ± 0.40 nm with graphitic cores. Raman spectroscopy and Fourier transform infrared spectroscopy confirmed diverse functional groups. The CDs exhibited excitation-dependent fluorescence with a peak emission at 432 nm, a high quantum yield of 54.91%, and a fluorescence lifetime of 9.50 ± 0.15 ns, making them highly suitable for bioimaging. Confocal microscopy demonstrated tissue-specific localization in lettuce plant cells. In stem cells, CP-CDs predominantly targeted mitochondria, confirmed by a colocalization with Mito-Tracker Red. In contrast, leaf cells showed selective accumulation at the stomatal openings. Under salt- and heat-induced stress, stem cells exhibited an increase in mitochondrial fluorescence, indicating stress-responsive interactions, whereas leaf cells maintained consistent stomatal localization. Further, enhanced fluorescence from chloroplasts under stress conditions suggested synergistic effects with chlorophyll. Also, stress conditions caused CP-CDs to accumulate at the cell boundaries in stem cells, highlighting their sensitivity to stress-induced changes. These findings demonstrate the optical properties, tissue-specific uptake, and organelle-level localization of CP-CDs, underlining their potential for bioimaging, stress detection, and targeted delivery systems in plants.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 8","pages":"534–546"},"PeriodicalIF":5.7,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/cbmi.4c00109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892576","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}

{"title":"Chiral Strategy for Developing High-Performance Polymeric Gadolinium-Based MRI Contrast Agents for Vascular and Tumor Imaging.","authors":"Xinlan Zhou, Xinzhong Ruan, Xingjiang Li, Weiyuan Xu, Xinhui Xiao, Aiyi Chen, Yinghui Ding, Jilai Zhang, Gengshen Mo, Yong Jian, Xinyang Wu, Fangfu Ye, Zhiqiang Wang, Yi Li, Lixiong Dai","doi":"10.1021/cbmi.5c00012","DOIUrl":"10.1021/cbmi.5c00012","url":null,"abstract":"<p><p>Magnetic resonance imaging (MRI) is a critical tool in medical diagnostics, yet conventional MRI contrast agents (CAs) are often limited by their small-molecule nature, resulting in rapid clearance and low relaxivity. This study presents a chiral strategy for developing high-performance polymeric gadolinium-based CAs, PAA-EOB-GdA and PAA-EOB-GdB, tailored for enhanced vascular and tumor imaging. Notably, PAA-EOB-GdA, a chiral Gd-DOTA derivative integrated with sodium poly-(acrylic acid) (PAA), benefits from the optimized water exchange rate of chiral Gd-(III) complex and the polymer effect of PAA, exhibiting exceptionally high relaxivity (<i>r</i> ₁ = 37.87 mM^-1 s^-1, 11.9-fold of clinical Gd-DOTA) and showed remarkable imaging efficacy in magnetic resonance angiography (MRA) with low-dose administration (0.05 mmol kg^-1) and an extended imaging duration. Its performance in tumor imaging was also impressive, maintaining superior enhancement values compared to Gd-DOTA. These characteristics feature PAA-EOB-GdA as a promising candidate for clinical diagnosis in both vascular and tumor imaging applications.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 6","pages":"387-397"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12188411/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144509403","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}

{"title":"Applications of Aggregation-Induced Emission Materials in Immunology: From Diagnostics to Immunotherapy","authors":"Langyi Yang,&nbsp;Ling-Hong Xiong and Xuewen He*,&nbsp;","doi":"10.1021/cbmi.5c00016","DOIUrl":"https://doi.org/10.1021/cbmi.5c00016","url":null,"abstract":"<p >Aggregation-induced emission (AIE) materials, due to their unique ability to significantly enhance optical emission in aggregated states, have demonstrated vast potential in immunology, particularly in early disease diagnosis and immunotherapy. AIE materials can serve as highly efficient fluorescent probes for biomarker detection, providing critical insights for early diagnosis. Additionally, they can act as cancer vaccines, enhancing the effectiveness of immunotherapy through photodynamic therapy, photothermal therapy, or activation of immune cells. This review highlights the applications of AIE materials in immunology, focusing on recent advancements in disease immune diagnostics and immunotherapy while also discussing the challenges they face and potential directions for future development.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 8","pages":"499–521"},"PeriodicalIF":5.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/cbmi.5c00016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892574","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}

{"title":"Chiral Strategy for Developing High-Performance Polymeric Gadolinium-Based MRI Contrast Agents for Vascular and Tumor Imaging","authors":"Xinlan Zhou,&nbsp;Xinzhong Ruan,&nbsp;Xingjiang Li,&nbsp;Weiyuan Xu,&nbsp;Xinhui Xiao,&nbsp;Aiyi Chen,&nbsp;Yinghui Ding,&nbsp;Jilai Zhang,&nbsp;Gengshen Mo,&nbsp;Yong Jian,&nbsp;Xinyang Wu,&nbsp;Fangfu Ye,&nbsp;Zhiqiang Wang*,&nbsp;Yi Li* and Lixiong Dai*,&nbsp;","doi":"10.1021/cbmi.5c0001210.1021/cbmi.5c00012","DOIUrl":"https://doi.org/10.1021/cbmi.5c00012https://doi.org/10.1021/cbmi.5c00012","url":null,"abstract":"<p >Magnetic resonance imaging (MRI) is a critical tool in medical diagnostics, yet conventional MRI contrast agents (CAs) are often limited by their small-molecule nature, resulting in rapid clearance and low relaxivity. This study presents a chiral strategy for developing high-performance polymeric gadolinium-based CAs, PAA-EOB-GdA and PAA-EOB-GdB, tailored for enhanced vascular and tumor imaging. Notably, PAA-EOB-GdA, a chiral Gd-DOTA derivative integrated with sodium poly(acrylic acid) (PAA), benefits from the optimized water exchange rate of chiral Gd(III) complex and the polymer effect of PAA, exhibiting exceptionally high relaxivity (<i>r</i>₁ = 37.87 mM^–1 s^–1, 11.9-fold of clinical Gd-DOTA) and showed remarkable imaging efficacy in magnetic resonance angiography (MRA) with low-dose administration (0.05 mmol kg^–1) and an extended imaging duration. Its performance in tumor imaging was also impressive, maintaining superior enhancement values compared to Gd-DOTA. These characteristics feature PAA-EOB-GdA as a promising candidate for clinical diagnosis in both vascular and tumor imaging applications.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 6","pages":"387–397 387–397"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/cbmi.5c00012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337984","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}

{"title":"Advancing Single-Molecule Biophysics: Next-Generation Organic Fluorophores with Tailored Labeling Strategies.","authors":"Lei Zhang, Dongwen Shen, Jiazhen Yang","doi":"10.1021/cbmi.5c00007","DOIUrl":"10.1021/cbmi.5c00007","url":null,"abstract":"<p><p>Recent advancements in single-molecule biophysics have been driven by breakthroughs in advanced fluorescence microscopy techniques and the development of next-generation organic fluorophores. These cutting-edge fluorophores, coupled through tailored biolabeling strategies, offer single-molecule brightness, photostability, and phototunability (i.e., photoswitchable, photoactivatable), contributing to enhancing spatial and temporal imaging resolution for studying biomolecular interactions and dynamics at single-event precision. This review examines the progress made over the past decade in the development of next-generation fluorophores, along with their site-specific labeling methods for proteins, nucleic acids, and biomolecular complexes. It also explores their applications in single-molecule fluorescence-based dynamic structural biology and super-resolution microscopy imaging. Furthermore, it examines ongoing efforts to address challenges associated with fluorophore photostability, photobleaching, and the integration of advanced photophysical and photochemical functionalities. The integration of state-of-the-art fluorophores with advanced labeling strategies aim to deliver complementary correlative data, holding promise for revolutionizing single-molecule biophysics by pushing the boundaries of temporal and spatial imaging resolution to unprecedented limits.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 9","pages":"572-598"},"PeriodicalIF":5.7,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12458005/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151656","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}

{"title":"","authors":"Yinshuang Yang,&nbsp;Xiaolan Liu,&nbsp;Deyang Xi,&nbsp;Yibin Zhang,&nbsp;Xiucai Gao,&nbsp;Kai Xu*,&nbsp;Haiying Liu* and Mingxi Fang*,&nbsp;","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 3","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/cbmi.4c00048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144435120","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}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 3","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/imv003i003_1914280","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144435122","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}

{"title":"","authors":"Siqi Zhang,&nbsp;Xiaona Sun,&nbsp;Wenhao Liu,&nbsp;Jiang Wu,&nbsp;Yuxuan Wu,&nbsp;Shuo Jiang,&nbsp;Xingkai Wang,&nbsp;Xin Gao,&nbsp;Quan Zuo,&nbsp;Hailong Zhang,&nbsp;Yingzi Zhang,&nbsp;Feng Wang,&nbsp;Rui Wang* and Kuan Hu*,&nbsp;","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"3 3","pages":"XXX-XXX XXX-XXX"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/cbmi.4c00071","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144435123","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}