Chemical & Biomedical Imaging最新文献

Peptide PET Imaging: A Review of Recent Developments and a Look at the Future of Radiometal-Labeled Peptides in Medicine 多肽 PET 成像：近期发展回顾与放射性同位素标记肽在医学中的未来展望

Chemical & Biomedical Imaging Pub Date : 2024-08-22 DOI: 10.1021/cbmi.4c0003010.1021/cbmi.4c00030

Majed Shabsigh, and , Lee A. Solomon*,

引用次数: 0

DNA-FRET Constructs Enable Multiplexed Fluorescence Detection at the Single-Molecule Level DNA-FRET 构建可实现单分子水平的多重荧光检测

Chemical & Biomedical Imaging Pub Date : 2024-08-08 DOI: 10.1021/cbmi.4c0005410.1021/cbmi.4c00054

Juan Wang, and , Hanyang Yu*,

引用次数: 0

Cervical Cancer Tissue Analysis Using Photothermal Midinfrared Spectroscopic Imaging. 利用光热中红外光谱成像分析宫颈癌组织

Chemical & Biomedical Imaging Pub Date : 2024-07-31 eCollection Date: 2024-09-23 DOI: 10.1021/cbmi.4c00031

Reza Reihanisaransari, Chalapathi Charan Gajjela, Xinyu Wu, Ragib Ishrak, Yanping Zhong, David Mayerich, Sebastian Berisha, Rohith Reddy

{"title":"Cervical Cancer Tissue Analysis Using Photothermal Midinfrared Spectroscopic Imaging.","authors":"Reza Reihanisaransari, Chalapathi Charan Gajjela, Xinyu Wu, Ragib Ishrak, Yanping Zhong, David Mayerich, Sebastian Berisha, Rohith Reddy","doi":"10.1021/cbmi.4c00031","DOIUrl":"https://doi.org/10.1021/cbmi.4c00031","url":null,"abstract":"Hyperspectral photothermal mid-infrared spectroscopic imaging (HP-MIRSI) is an emerging technology with promising applications in cervical cancer diagnosis and quantitative, label-free histopathology. This study pioneers the application of HP-MIRSI to the evaluation of clinical cervical cancer tissues, achieving excellent tissue type segmentation accuracy of over 95%. This achievement stems from an integrated approach of optimized data acquisition, computational data reconstruction, and the application of machine learning algorithms. The results are statistically robust, drawing from tissue samples of 98 cervical cancer patients and incorporating over 40 million data points. Traditional cervical cancer diagnosis methods entail biopsy, staining, and visual evaluation by a pathologist. This process is qualitative, subject to variations in staining and subjective interpretations, and requires extensive tissue processing, making it costly and time-consuming. In contrast, our proposed alternative can produce images comparable to those from histological analyses without the need for staining or complex sample preparation. This label-free, quantitative method utilizes biochemical data from HP-MIRSI and employs machine-learning algorithms for the rapid and precise segmentation of cervical tissue subtypes. This approach can potentially transform histopathological analysis by offering a more accurate and label-free alternative to conventional diagnostic processes.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11423401/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142332199","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

Cervical Cancer Tissue Analysis Using Photothermal Midinfrared Spectroscopic Imaging 利用光热中红外光谱成像分析宫颈癌组织

Chemical & Biomedical Imaging Pub Date : 2024-07-31 DOI: 10.1021/cbmi.4c0003110.1021/cbmi.4c00031

Reza Reihanisaransari, Chalapathi Charan Gajjela, Xinyu Wu, Ragib Ishrak, Yanping Zhong, David Mayerich, Sebastian Berisha and Rohith Reddy*,

{"title":"Cervical Cancer Tissue Analysis Using Photothermal Midinfrared Spectroscopic Imaging","authors":"Reza Reihanisaransari, Chalapathi Charan Gajjela, Xinyu Wu, Ragib Ishrak, Yanping Zhong, David Mayerich, Sebastian Berisha and Rohith Reddy*, ","doi":"10.1021/cbmi.4c0003110.1021/cbmi.4c00031","DOIUrl":"https://doi.org/10.1021/cbmi.4c00031https://doi.org/10.1021/cbmi.4c00031","url":null,"abstract":"Hyperspectral photothermal mid-infrared spectroscopic imaging (HP-MIRSI) is an emerging technology with promising applications in cervical cancer diagnosis and quantitative, label-free histopathology. This study pioneers the application of HP-MIRSI to the evaluation of clinical cervical cancer tissues, achieving excellent tissue type segmentation accuracy of over 95%. This achievement stems from an integrated approach of optimized data acquisition, computational data reconstruction, and the application of machine learning algorithms. The results are statistically robust, drawing from tissue samples of 98 cervical cancer patients and incorporating over 40 million data points. Traditional cervical cancer diagnosis methods entail biopsy, staining, and visual evaluation by a pathologist. This process is qualitative, subject to variations in staining and subjective interpretations, and requires extensive tissue processing, making it costly and time-consuming. In contrast, our proposed alternative can produce images comparable to those from histological analyses without the need for staining or complex sample preparation. This label-free, quantitative method utilizes biochemical data from HP-MIRSI and employs machine-learning algorithms for the rapid and precise segmentation of cervical tissue subtypes. This approach can potentially transform histopathological analysis by offering a more accurate and label-free alternative to conventional diagnostic processes.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/cbmi.4c00031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142276362","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

Cross-Correlation Increases Sampling in Diffusion-Based Super-Resolution Optical Fluctuation Imaging. 交叉相关提高基于扩散的超分辨率光学波动成像的采样率

Chemical & Biomedical Imaging Pub Date : 2024-07-30 eCollection Date: 2024-09-23 DOI: 10.1021/cbmi.4c00032

Jeanpun Antarasen, Benjamin Wellnitz, Stephanie N Kramer, Surajit Chatterjee, Lydia Kisley

{"title":"Cross-Correlation Increases Sampling in Diffusion-Based Super-Resolution Optical Fluctuation Imaging.","authors":"Jeanpun Antarasen, Benjamin Wellnitz, Stephanie N Kramer, Surajit Chatterjee, Lydia Kisley","doi":"10.1021/cbmi.4c00032","DOIUrl":"https://doi.org/10.1021/cbmi.4c00032","url":null,"abstract":"Correlation signal processing of optical three-dimensional (x, y, t) data can produce super-resolution images. The second-order cross-correlation function XC 2 has been documented to produce super-resolution imaging with static and blinking emitters but not for diffusing emitters. Here, we both analytically and numerically demonstrate cross-correlation analysis for diffusing particles. We then expand our fluorescence correlation spectroscopy super-resolution optical fluctuation imaging (fcsSOFI) analysis to use cross-correlation as a postprocessing computational technique to extract both dynamic and structural information on particle diffusion in nanoscale structures simultaneously. Cross-correlation maintains the same super-resolution as auto-correlation while also increasing the sampling rates to reduce aliasing for spatial information in both simulated and experimental data. Our work demonstrates how fcsSOFI with cross-correlation can be a powerful signal-processing tool to resolve the nanoscale dynamics and structure in samples relevant to biological and soft materials.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11423407/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142332200","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

Cross-Correlation Increases Sampling in Diffusion-Based Super-Resolution Optical Fluctuation Imaging 交叉相关提高了基于扩散的超分辨率光学波动成像的采样率

Chemical & Biomedical Imaging Pub Date : 2024-07-30 DOI: 10.1021/cbmi.4c0003210.1021/cbmi.4c00032

Jeanpun Antarasen, Benjamin Wellnitz, Stephanie N. Kramer, Surajit Chatterjee and Lydia Kisley*,

{"title":"Cross-Correlation Increases Sampling in Diffusion-Based Super-Resolution Optical Fluctuation Imaging","authors":"Jeanpun Antarasen, Benjamin Wellnitz, Stephanie N. Kramer, Surajit Chatterjee and Lydia Kisley*, ","doi":"10.1021/cbmi.4c0003210.1021/cbmi.4c00032","DOIUrl":"https://doi.org/10.1021/cbmi.4c00032https://doi.org/10.1021/cbmi.4c00032","url":null,"abstract":"Correlation signal processing of optical three-dimensional (x, y, t) data can produce super-resolution images. The second-order cross-correlation function XC2 has been documented to produce super-resolution imaging with static and blinking emitters but not for diffusing emitters. Here, we both analytically and numerically demonstrate cross-correlation analysis for diffusing particles. We then expand our fluorescence correlation spectroscopy super-resolution optical fluctuation imaging (fcsSOFI) analysis to use cross-correlation as a postprocessing computational technique to extract both dynamic and structural information on particle diffusion in nanoscale structures simultaneously. Cross-correlation maintains the same super-resolution as auto-correlation while also increasing the sampling rates to reduce aliasing for spatial information in both simulated and experimental data. Our work demonstrates how fcsSOFI with cross-correlation can be a powerful signal-processing tool to resolve the nanoscale dynamics and structure in samples relevant to biological and soft materials.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/cbmi.4c00032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142276361","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

Improving Spatial Resolution by Reinterpreting Dosage for Laser-Induced Breakdown Spectroscopy Imaging: Conceptualization and Limitations 通过重新解释激光诱导击穿光谱成像的剂量来提高空间分辨率：概念化和局限性

Chemical & Biomedical Imaging Pub Date : 2024-07-25 DOI: 10.1021/cbmi.4c0004510.1021/cbmi.4c00045

David Ken Gibbs*, Maximilian Podsednik, Patrick Tapler, Maximilian Weiss, Alexander Karl Opitz, Michael Nelhiebel, Charles Derrick Quarles Jr, Silvia Larisegger and Andreas Limbeck*,

{"title":"Improving Spatial Resolution by Reinterpreting Dosage for Laser-Induced Breakdown Spectroscopy Imaging: Conceptualization and Limitations","authors":"David Ken Gibbs*, Maximilian Podsednik, Patrick Tapler, Maximilian Weiss, Alexander Karl Opitz, Michael Nelhiebel, Charles Derrick Quarles Jr, Silvia Larisegger and Andreas Limbeck*, ","doi":"10.1021/cbmi.4c0004510.1021/cbmi.4c00045","DOIUrl":"https://doi.org/10.1021/cbmi.4c00045https://doi.org/10.1021/cbmi.4c00045","url":null,"abstract":"Elemental imaging in laser-induced breakdown spectroscopy is usually performed by placing laser shots adjacent to each other on the sample surface without spatial overlap. Seeing that signal intensity is directly related to the amount of ablated material, this restricts either spatial resolution (for a given excitation efficiency) or sensitivity (when reducing the laser spot size). The experimental applicability of a concept involving the spatial overlapping of shots on the sample surface is investigated and compared to the conventional approach. By systematic choice of spacing between laser shots, spatial resolution can be improved to the single digit micrometer range for a given laser spot size. Signal intensity is found to be linearly dependent on the area ablated per shot, facilitating larger signal-to-background ratios with increased spot sizes. Owing to this, the presented approach is also employed to enhance signal intensity, while preserving spatial resolution. The applicability of the method is explored by analyzing samples with distinct thickness of the surface layer, allowing for the assessment of the concept’s suitability for different sample types.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/cbmi.4c00045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142276360","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

Low-Frequency Coherent Raman Imaging Robust to Optical Scattering. 不受光学散射影响的低频相干拉曼成像。

Chemical & Biomedical Imaging Pub Date : 2024-07-08 eCollection Date: 2024-08-26 DOI: 10.1021/cbmi.4c00020

David R Smith, Jesse W Wilson, Siddarth Shivkumar, Hervé Rigneault, Randy A Bartels

引用次数: 0

Low-Frequency Coherent Raman Imaging Robust to Optical Scattering 不受光学散射影响的低频相干拉曼成像技术

Chemical & Biomedical Imaging Pub Date : 2024-07-08 DOI: 10.1021/cbmi.4c0002010.1021/cbmi.4c00020

David R. Smith, Jesse W. Wilson, Siddarth Shivkumar, Hervé Rigneault and Randy A. Bartels*,

引用次数: 0

Spatial Resolution for X-ray Excited Luminescence Chemical Imaging (XELCI) X 射线激发发光化学成像（XELCI）的空间分辨率

Chemical & Biomedical Imaging Pub Date : 2024-07-02 DOI: 10.1021/cbmi.4c0003910.1021/cbmi.4c00039

Apeksha C. Rajamanthrilage, Unaiza Uzair, Paul W. Millhouse, Matthew J. Case, Donald W. Benza and Jeffrey N. Anker*,

{"title":"Spatial Resolution for X-ray Excited Luminescence Chemical Imaging (XELCI)","authors":"Apeksha C. Rajamanthrilage, Unaiza Uzair, Paul W. Millhouse, Matthew J. Case, Donald W. Benza and Jeffrey N. Anker*, ","doi":"10.1021/cbmi.4c0003910.1021/cbmi.4c00039","DOIUrl":"https://doi.org/10.1021/cbmi.4c00039https://doi.org/10.1021/cbmi.4c00039","url":null,"abstract":"Measuring chemical concentrations at the surface of implanted medical devices is important for elucidating the local biochemical environment, especially during implant infection. Although chemical indicator dyes enable chemical measurements in vitro, they are usually ineffective when measuring through tissue because the background obscures the dye signal and scattering dramatically reduces the spatial resolution. X-ray excited luminescent chemical imaging (XELCI) is a recent imaging modality which overcomes these limitations using a focused X-ray beam to excite a small spot of red light on scintillator-coated medical implants with well-defined location (because X-rays are minimally scattered) and low background. A spectrochemical indicator film placed over the scintillator layer, e.g., a polymer film containing pH-indicator dyes, absorbs some of the luminescence according to the local chemical environment, and this absorption is then detected by measuring the light intensity/spectrum passing through the tissue. A focused X-ray beam is used to scan point-by-point with a spatial resolution mainly limited by the X-ray beam width with minimum increase from X-ray absorption and scattering in the tissue. X-ray resolution, implant surface specificity, and chemical sensitivity are the three key features of XELCI. Here, we study spatial resolution using optically absorptive targets. For imaging a series of lines, the 20–80% knife-edge resolution was ∼285 (±15) μm with no tissue and 475 ± 18 and 520 ± 34 μm, respectively, through 5 and 10 mm thick tissue. Thus, doubling the tissue depth did not appreciably change the spatial resolution recorded through the tissue. This shows the promise of XELCI for submillimeter chemical imaging through tissue.","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/cbmi.4c00039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141955872","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