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Differential Responses of Transplanted Stem Cells to Diseased Environment Unveiled by a Molecular NIR-II Cell Tracker

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research 2021年第1期2021卷 935-950页

作者： Hao Chen Huaxiao Yang Chen Zhang Si Chen Xin Zhao Mark Zhu Zhiming Wang Yuebing Wang Hung-Ta Wo Kai Li Zhen Cheng Center for Molecular Imaging Research Shanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China Molecular Imaging Program at Stanford(MIPS) Bio-X Programand Department of RadiologyCanary Center at Stanford for Cancer Early DetectionStanford UniversityStanfordCA 94305-5344USA University of North Texas Biomedical EngineeringDentonTX 76207USA Department of Biomedical Engineering Southern University of Science and TechnologyShenzhenGuangdong 518055China Department of Neurology Xiangya HospitalCentral South UniversityXiangya Road 88ChangshaHunan 410008China Stanford Cardiovascular Institute StanfordCA 94305USA Division of Cardiology Department of Internal MedicineChang Gung Memorial HospitalLinkouTaiwan33305China

Stem cell therapy holds high promises in regenerative *** major challenge of clinical translation is to precisely and quantitatively evaluate the in vivo cell distribution,migration,and engraftment,which cannot be easily achieved by current *** address this issue,for the first time,we have developed a molecular cell tracker with a strong fluorescence signal in the second near-infrared(NIR-II)window(1,000-1,700 nm)for real-time monitoring of in vivo cell behaviors in both healthy and diseased animal *** NIR-II tracker(CelTrac1000)has shown complete cell labeling with low cytotoxicity and profound long-term tracking ability for 30 days in high spatiotemporal resolution for semiquantification of the biodistribution of transplanted stem *** advantage of the unique merits of CelTrac1000,the responses of transplanted stem cells to different diseased environments have been discriminated and ***,we also demonstrate CelTrac1000 as a universal and effective technique for ultrafast real-time tracking of the cellular migration and distribution in a 100μm single-cell cluster spatial resolution,along with the lung contraction and heart *** such,this NIR-II tracker will shift the optical cell tracking into a single-cell cluster and millisecond temporal resolution for better evaluating and understanding stem cell therapy,affording optimal doses and efficacy.

关键词： doses distribution holds

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Molecular dynamics simulation and purification of chimeric L1/L2 protein from human papillomavirus type 52 expressed in Escherichia coli BL21 (DE3)

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Journal of Immunoassay and Immunochemistry 2024年第5期45卷 395-414页

作者： Al Adawiah, Rabiyah Zaenal Mustopa, Apon Budiarti, Sri Nur Umami, Rifqiyah Hertati, Ai Irawan, Herman Ikramullah, Muh. Chaeril Arwansyah, Arwansyah Mamangkey, Jendri Kartikasari, Isti Salahudin Darusman, Huda Post Graduate Program of Microbiology IPB University Bogor Indonesia Research Center for Genetic Engineering National Research and Innovation Agency (BRIN) KST Soekarno Bogor Cibinong Indonesia Department of Biology IPB University Bogor Indonesia Biotechnology Study Program Postgraduate School of Universitas Gadjah Mada Yogyakarta Indonesia Department of Chemistry Education Tadulako University Palu Indonesia Department of Biology Education Faculty of Education and Teacher Training Universitas Kristen Indonesia Jakarta Indonesia Primate Animal Study Center IPB University Bogor Indonesia Department of Anatomy Physiology and Pharmacology School of Veterinary Medicine and Biomedical IPB University Bogor Indonesia Primate Animal Study Center Research Institution and Community Service (LPPM) IPB University Bogor Indonesia

The available prophylactic vaccines for human papillomavirus (HPV) in the market are only effective against specific types of HPV, rendering them ineffective for other types of HPV infections. The objective of this research is to investigate the stability of the recombinant protein constructed, namely chimeric L1/L2 protein from HPV type 52, with improved cross-neutralization ability. The 3D model, predicted using Alphafold, Robetta, I-Tasser, and refined with Galaxy Refinement, is validated using Ramachandran plot analysis. The stability is verified through molecular dynamics simulations, considering parameters such as RMSD, RMSF, Rg, and SASA, where stable conditions are observed. The chimeric L1/L2 protein from HPV type 52 is purified using affinity chromatography, and the His-tag is cleaved using SUMO protease to obtain pure chimeric protein with the size of ~ 55 kDa. Western blot analysis confirms binding to anti-L1 HPV type 52 polyclonal antibody. The obtained vaccine candidate can be utilized as an effective prophylactic vaccine against HPV. © 2024 Taylor & Francis.

关键词： HPV molecular dynamics purification vaccine

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Artifact Correction in Magnetic Resonance Temperature imaging for Laser Interstitial Thermotherapy with Multi-echo Acquisitions

arXiv

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arXiv 2024年

作者： Pan, Ziyi Jiang, Yuancheng Lv, Wenbo Li, Sisi Han, Meng Kuang, Yawei Sun, Hao Wang, Xiu Bai, Jianjun Liu, Wenbo Wang, Guangzhi Guo, Hua Center for Biomedical Imaging Research School of Biomedical Engineering Tsinghua University Beijing China Sinovation Medical Beijing China Department of Neurosurgery Beijing Tiantan Hospital Capital Medical University Beijing China Tsinghua University Yuquan Hospital Beijing China School of Biomedical Engineering Tsinghua University Beijing China

Background: In MRI-guided laser interstitial thermotherapy (MRgLITT), a signal void sometimes appears at the heating center of the measured temperature map. This can greatly affect the accuracy of temperature mapping and increase the risk of over- or undertreatment. In neurosurgical MRgLITT treatments, cerebrospinal fluid pulsation (CSF), which may lead to temperature artifacts, also needs to be carefully managed. Additionally, accurate temperature imaging requires a robust phase unwrapping procedure that is resistant to artifacts. Purpose: We find that signal loss in MR magnitude images can be one distinct contributor to the temperature imaging signal void. Therefore, this study aims to investigate this finding and more importantly, to correct the signal loss-induced temperature errors for reliable temperature imaging. Also, this study intends to improve measurement accuracy by correcting CSF-induced temperature errors and employing a more reliable phase unwrapping algorithm. Methods: First, a gradient echo (GRE) sequence with certain TE values for temperature imaging is used to quantify T2* variations during MRgLITT heating and to investigate the development of signal voids throughout the treatment. Then, informed by these findings, a multi-echo GRE sequence with appropriate TE coverage is employed. A multi-echo-based correction algorithm is developed to address the signal loss-induced temperature errors by utilizing short echo times (e.g., TE = 4 ms) that are less affected by the signal loss. Additionally, a new phase unwrapping method and a new CSF pulsation correction approach are developed for multi-echo signal processing. Finally, the temperature imaging method is evaluated by gel phantom, ex-vivo (pork and swine brain), and in-vivo (canine brain) LITT heating experiments. Results: T2* shortening during heating can be one important cause of the temperate imaging signal voids and this demands the multi-echo acquisition with varied TE values. Ex-vivo and in-viv

关键词： Phantoms

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Quantitatively mapping local quality of super-resolution microscopy by rolling Fourier ring correlation

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Light(Science & Applications) 2023年第12期12卷 2826-2844页

作者： Weisong Zhao Xiaoshuai Huang Jianyu Yang Liying Qu Guohua Qiu Yue Zhao Xinwei Wang Deer Su Xumin Ding Heng Mao Yaming Jiu Ying Hu Jiubin Tan Shiqun Zhao Leiting Pan Liangyi Chen Haoyu Li Innovation Photonics and Imaging Center School of Instrumentation Science and EngineeringHarbin Institute of TechnologyHarbinChina Key Laboratory of Ultra-Precision Intelligent Instrumentation of Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbinChina Biomedical Engineering Department International Cancer InstitutePeking University Cancer Hospital and InstituteHealth Science CenterPeking UniversityBeijingChina The Key Laboratory of Weak-Light Nonlinear Photonics of Education Ministry School of Physics and TEDA Institute of Applied PhysicsFrontiers Science Center for Cell ResponsesNankai UniversityTianjinChina State Key Laboratory of Membrane Biology Beijing Key Laboratory of Cardiometabolic Molecular MedicineInstitute of Molecular MedicineNational Biomedical Imaging CenterSchool of Future TechnologyPeking UniversityBeijingChina Department of Control Science and Engineering Harbin Institute of TechnologyHarbinChina School of Mathematical Sciences Peking UniversityBeijingChina Unit of Cell Biology and Imaging Study of Pathogen Host Interaction The Center for MicrobesDevelopment and HealthKey Laboratory of Molecular Virology and ImmunologyShanghai Institute of Immunity and InfectionChinese Academy of SciencesShanghaiChina School of Life Science and Technology Harbin Institute of TechnologyHarbinChina PKU-IDG/McGovern Institute for Brain Research BeijingChina Beijing Academy of Artificial Intelligence BeijingChina Frontiers Science Center for Matter Behave in Space Environment Harbin Institute of TechnologyHarbinChina Key Laboratory of Micro-Systems and Micro-Structures Manufacturing of Ministry of Education Harbin Institute of TechnologyHarbinChina

In fluorescence microscopy,computational algorithms have been developed to suppress noise,enhance contrast,and even enable super-resolution(SR).However,the local quality of the images may vary on multiple scales,and these differences can lead to *** mapping methods fail to finely estimate the local quality,challenging to associate the SR scale ***,we develop a rolling Fourier ring correlation(rFRC)method to evaluate the reconstruction uncertainties down to SR *** visually pinpoint regions with low reliability,a filtered rFRC is combined with a modified resolution-scaled error map(RSM),offering a comprehensive and concise map for further *** demonstrate their performances on various SR imaging modalities,and the resulting quantitative maps enable better SR images integrated from different ***,we expect that our framework can become a routinely used tool for biologists in assessing their image datasets in general and inspire further advances in the rapidly developing field of computational imaging.

关键词： resolution local enable

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Restriction-induced time-dependent transcytolemmal water exchange: Revisiting the Kӓrger exchange model

arXiv

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arXiv 2024年

作者： Shi, Diwei Liu, Fan Li, Sisi Chen, Li Jiang, Xiaoyu Gore, John C. Zheng, Quanshui Guo, Hua Xu, Junzhong Center for Nano and Micro Mechanics Department of Engineering Mechanics Tsinghua University Beijing China Center for Biomedical Imaging Research Department of Biomedical Engineering School of Medicine Tsinghua University Beijing China Institute of Imaging Science Vanderbilt University Medical Center NashvilleTN United States Department of Radiology and Radiological Sciences Vanderbilt University Medical Center NashvilleTN United States Department of Biomedical Engineering Vanderbilt University NashvilleTN United States Department of Physics and Astronomy Vanderbilt University NashvilleTN United States

The Kӓrger model and its derivatives have been widely used to incorporate transcytolemmal water exchange rate, an essential characteristic of living cells, into analyses of diffusion MRI (dMRI) signals from tissues. The Kӓrger model consists of two homogeneous exchanging components coupled by an exchange rate constant and assumes measurements are made with sufficiently long diffusion time and slow water exchange. Despite successful applications, it remains unclear whether these assumptions are generally valid for practical dMRI sequences and biological tissues. In particular, barrier-induced restrictions to diffusion produce inhomogeneous magnetization distributions in relatively large-sized compartments such as cancer cells, violating the above assumptions. The effects of this inhomogeneity are usually overlooked. We performed computer simulations to quantify how restriction effects, which in images produce edge enhancements at compartment boundaries, influence different variants of the Kӓrger-model. The results show that the edge enhancement effect will produce larger, time-dependent estimates of exchange rates in e.g., tumors with relatively large cell sizes (>10 μm), resulting in overestimations of water exchange as previously reported. Moreover, stronger diffusion gradients, longer diffusion gradient durations, and larger cell sizes, all cause more pronounced edge enhancement effects. This helps us to better understand the feasibility of the Kärger model in estimating water exchange in different tissue types and provides useful guidance on signal acquisition methods that may mitigate the edge enhancement effect. This work also indicates the need to correct the overestimated transcytolemmal water exchange rates obtained assuming the Kärger-model. © 2024, CC BY-NC-ND.

关键词： Tissue

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Restriction-Induced Time-Dependent Transcytolemmal Water Exchange: Revisiting the Kӓrger Exchange Model

SSRN

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SSRN 2024年

关键词： Magnetic resonance imaging

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Deep Learning Networks to Estimate Electric Fields From Noisy B1 Maps

Deep Learning Networks to Estimate Electric Fields From Nois...

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US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)

作者： Giuseppe Carluccio Eros Montin Christopher M. Collins Riccardo Lattanzi Daniele Riccio Giuseppe Ruello Department of Electrical Engineering and Information Technology University of Napoli Federico II Italy Department of Radiology Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging New York University School of Medicine New York NY USA

ISBN: (数字)9781946815200

ISBN: (纸本)9798331513979

Deep learning networks have shown promising results in estimating electric fields from B1 maps. Some recent studies have shown that 2D analytical solutions can quickly generate data to be used as potential data augmentation with numerically simulated data. Since the ultimate goal is to have the developed deep learning networks able to operate with experimentally acquired data which might be affected by noise, in this study we have developed and tested the ability of these 2D networks to accurately predict the electric fields from noisy B1 maps. The networks could predict well the electric fields also in presence of noise, with a maximum NRMSE of 13.6%.

关键词： Deep learning Electric potential Noise Neural networks Data augmentation Stability analysis Noise measurement Electric fields Numerical stability

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Partition-based K-space Synthesis for Multi-contrast Parallel imaging

arXiv

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arXiv 2023年

作者： Huang, Yuxia Wu, Zhonghui Xu, Xiaoling Zhang, Minghui Wang, Shanshan Liu, Qiegen School of Information Engineering Nanchang University Nanchang330031 China Research Center for Biomedical Imaging SIAT Chinese Academy of Sciences Shenzhen518055 China

Multi-contrast magnetic resonance imaging is a significant and essential medical imaging technique. However, multi-contrast imaging has longer acquisition time and is easy to cause motion artifacts. In particular, the acquisition time for a T2-weighted image is prolonged due to its longer repetition time (TR). On the contrary, T1-weighted image has a shorter TR. Therefore, utilizing complementary information across T1 and T2-weighted image is a way to decrease the overall imaging time. Previous T1-assisted T2 reconstruction methods have mostly focused on image domain using whole-based image fusion approaches. The image domain reconstruction method has the defects of high computational complexity and limited flexibility. To address this issue, we propose a novel multi-contrast imaging method called partition-based k-space synthesis (PKS) which can achieve super reconstruction quality of T2-weighted image by feature fusion. Concretely, we first decompose fully-sampled T1 k-space data and under-sampled T2 k-space data into two sub-data, separately. Then two new objects are constructed by combining the two sub-T1/T2 data. After that, the two new objects as the whole data to realize the reconstruction of T2-weighted image. Finally, the objective T2 is synthesized by extracting the sub-T2 data of each part. Experimental results showed that our combined technique can achieve comparable or better results than using traditional k-space parallel imaging (SAKE) that processes each contrast independently. Copyright © 2023, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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Numerical Optimization of a 3D Multilayer Dielectric Geometry for MRI Applications

Numerical Optimization of a 3D Multilayer Dielectric Geometr...

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US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)

作者： Giuseppe Carluccio Christopher M. Collins Daniele Riccio Vincenzo Miranda Giuseppe Ruello Department of Electrical Engineering and Information Technology University of Napoli Federico II Italy Department of Radiology Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging New York University School of Medicine New York NY USA

ISBN: (数字)9781946815200

ISBN: (纸本)9798331513979

High-Permittivity Materials (HPM) are used in MRI to improve the radiofrequency $B 1$ field, resulting in an increase of the SNR and of the transmit efficiency in the tissues. In a previous study, it was shown that the field can be enhanced even more when, instead of a single HPM layer, a multilayer dielectric structure is used. This result was obtained with the optimization of the permittivity of the HPM layers with the fields calculated with a 2D cylindrical analytical solution. Since analytical solutions represent geometries that are not very heterogeneous and complex such as human tissues, in this study we have repeated the optimization with data computed with 3D numerical simulations. The fields were transmitted with a dipole to excite the head of a numerical body model surrounded by spherical dielectric shells. This study confirms that multilayer dielectric shells can enhance the field even more than a single HPM layer, with the improvement quantified as about 6.5 %. However, even if multilayer solutions can enhance the signal, their construction could face manufacturing challenges.

关键词： Geometry Radio frequency Solid modeling Three-dimensional displays Magnetic resonance imaging Nonhomogeneous media Dielectrics Numerical models Optimization Signal to noise ratio

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Hemodynamic Relevance Evaluation of Coronary Artery Anomaly During Stress Using FFR/IVUS in an Artificial Twin

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JACC: Case Reports 2025年第1期30卷 102729-102729页

作者： Illi, Joël Stark, Anselm W. Ilic, Marc Soares Loureiro, Dani Obrist, Dominik Shiri, Isaac Räber, Lorenz Haeberlin, Andreas Gräni, Christoph Department of Cardiology Inselspital Bern University Hospital University of Bern Bern Switzerland ARTORG Center for Biomedical Engineering Research University of Bern Switzerland Translational Imaging Center Sitem Center University of Bern Switzerland

Anomalous aortic origin of coronary artery can lead to ischemia. Due to the limitations of invasive catheterization dobutamine stress testing, an alternative noninvasive approach is desired. A 65-year-old woman with atypical chest pain was referred for coronary computed tomography angiography. Although coronary artery disease was excluded, a right anomalous aortic origin of coronary artery with an interarterial and intramural course was discovered. The patient underwent invasive coronary angiography with a dobutamine stress test, which revealed a pathologic fractional flow reserve (ie, dobutamine fractional flow reserve) of 0.76 (normal >0.8) and lateral ostial compression in dobutamine intravascular ultrasound. A physical replication, using a patient-specific 3-dimensional–printed phantom was created based on coronary computed tomography angiography and evaluated in a flow loop under the same hemodynamic rest and stress conditions. The 3-dimensional–printed phantom fractional flow reserve was similar with 0.78, and dobutamine intravascular ultrasound showed comparable lateral compression. © 2025 The Authors

关键词： 3D-printed patient-specific phantom 3DPSP AAOCA ACAOS additive manufacturing AM anomalous aortic origin of a coronary artery artificial twin CCTA coronary artery anomaly dobutamine FFR fractional flow reserve hemodynamic testing intravascular ultrasound IVUS

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