BME frontiersPub Date : 2021-11-13DOI: 10.1101/2021.11.10.467798
Zhijie Dong, Jihun Kim, Chengwu Huang, Matthew R. Lowerison, Shigao Chen, P. Song
{"title":"Three-Dimensional Shear Wave Elastography Using a 2D Row Column Addressing (RCA) Array","authors":"Zhijie Dong, Jihun Kim, Chengwu Huang, Matthew R. Lowerison, Shigao Chen, P. Song","doi":"10.1101/2021.11.10.467798","DOIUrl":"https://doi.org/10.1101/2021.11.10.467798","url":null,"abstract":"Objective To develop a 3D shear wave elastography (SWE) technique using a 2D row column addressing (RCA) array, with either external vibration or acoustic radiation force (ARF) as the shear wave source. Impact Statement The proposed method paves the way for clinical translation of 3D-SWE based on the 2D RCA, providing a low-cost and high volume-rate solution that is compatible with existing clinical systems. Introduction SWE is an established ultrasound imaging modality that provides a direct and quantitative assessment of tissue stiffness, which is significant for a wide range of clinical applications including cancer and liver fibrosis. SWE requires high frame-rate imaging for robust shear wave tracking. Due to the technical challenges associated with high volume-rate imaging in 3D, current SWE techniques are typically confined to 2D. Advancing SWE from 2D to 3D is significant because of the heterogeneous nature of tissue, which demands 3D imaging for accurate and comprehensive evaluation. Methods A 3D SWE method using a 2D RCA array was developed with a volume-rate up to 2000 Hz. The performance of the proposed method was systematically evaluated on tissue-mimicking elasticity phantoms. Results 3D shear wave motion induced by either external vibration or ARF was successfully detected with the proposed method. Robust 3D shear wave speed maps were reconstructed for both homogeneous and heterogeneous phantoms with inclusions. Conclusion The high volume-rate 3D imaging provided by the 2D RCA array provides a robust and practical solution for 3D SWE with a clear pathway for future clinical translation.","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86378560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BME frontiersPub Date : 2021-11-11DOI: 10.1101/2021.11.09.467971
Haoyang Chen, S. Agrawal, Mohamed Osman, Josiah Minotto, Shubham Mirg, Jinyun Liu, Ajay Dangi, Quyen Tran, Thomas Jackson, Sri-Rajasekhar Kothapalli
{"title":"A Transparent Ultrasound Array for Real-Time Optical, Ultrasound, and Photoacoustic Imaging","authors":"Haoyang Chen, S. Agrawal, Mohamed Osman, Josiah Minotto, Shubham Mirg, Jinyun Liu, Ajay Dangi, Quyen Tran, Thomas Jackson, Sri-Rajasekhar Kothapalli","doi":"10.1101/2021.11.09.467971","DOIUrl":"https://doi.org/10.1101/2021.11.09.467971","url":null,"abstract":"Objective and Impact Statement Simultaneous imaging of ultrasound and optical contrasts can help map structural, functional and molecular biomarkers inside living subjects with high spatial resolution. There is a need to develop a platform to facilitate this multimodal imaging capability to improve diagnostic sensitivity and specificity. Introduction Currently, combining ultrasound, photoacoustic and optical imaging modalities is challenging because con-ventional ultrasound transducer arrays are optically opaque. As a result, complex geometries are used to co-align both optical and ultrasound waves in the same field of view. Methods One elegant solution is to make the ultrasound transducer transparent to light. Here, we demonstrate a novel transparent ultrasound transducer (TUT) liner array fabricated using a transparent lithium niobate piezoelectric material for real-time multimodal imaging. Results The TUT array consisted of 64 elements and centered at ∼ 6 MHz frequency. We demonstrate a quad-mode ultrasound, Doppler ultrasound, photoacoustic and fluorescence imaging in real-time using the TUT array directly coupled to the tissue mimicking phantoms. Conclusion The TUT array successfully showed a multimodal imaging capability, and has potential applications in diagnosing cancer, neuro and vascular diseases, including image-guided endoscopy and wearable imaging.","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83425455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BME frontiersPub Date : 2021-10-08eCollection Date: 2021-01-01DOI: 10.34133/2021/9860123
Hyeon Jeong Lee, Zhicong Chen, Marianne Collard, Fukai Chen, Jiaji G Chen, Muzhou Wu, Rhoda M Alani, Ji-Xin Cheng
{"title":"Multimodal Metabolic Imaging Reveals Pigment Reduction and Lipid Accumulation in Metastatic Melanoma.","authors":"Hyeon Jeong Lee, Zhicong Chen, Marianne Collard, Fukai Chen, Jiaji G Chen, Muzhou Wu, Rhoda M Alani, Ji-Xin Cheng","doi":"10.34133/2021/9860123","DOIUrl":"10.34133/2021/9860123","url":null,"abstract":"<p><p><i>Objective and Impact Statement</i>. Molecular signatures are needed for early diagnosis and improved treatment of metastatic melanoma. By high-resolution multimodal chemical imaging of human melanoma samples, we identify a metabolic reprogramming from pigmentation to lipid droplet (LD) accumulation in metastatic melanoma. <i>Introduction</i>. Metabolic plasticity promotes cancer survival and metastasis, which promises to serve as a prognostic marker and/or therapeutic target. However, identifying metabolic alterations has been challenged by difficulties in mapping localized metabolites with high spatial resolution. <i>Methods</i>. We developed a multimodal stimulated Raman scattering and pump-probe imaging platform. By time-domain measurement and phasor analysis, our platform allows simultaneous mapping of lipids and pigments at a subcellular level. Furthermore, we identify the sources of these metabolic signatures by tracking deuterium metabolites at a subcellular level. By validation with mass spectrometry, a specific fatty acid desaturase pathway was identified. <i>Results</i>. We identified metabolic reprogramming from a pigment-containing phenotype in low-grade melanoma to an LD-rich phenotype in metastatic melanoma. The LDs contain high levels of cholesteryl ester and unsaturated fatty acids. Elevated fatty acid uptake, but not <i>de novo</i> lipogenesis, contributes to the LD-rich phenotype. Monounsaturated sapienate, mediated by FADS2, is identified as an essential fatty acid that promotes cancer migration. Blocking such metabolic signatures effectively suppresses the migration capacity both <i>in vitro</i> and <i>in vivo</i>. <i>Conclusion</i>. By multimodal spectroscopic imaging and lipidomic analysis, the current study reveals lipid accumulation, mediated by fatty acid uptake, as a metabolic signature that can be harnessed for early diagnosis and improved treatment of metastatic melanoma.</p>","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521760/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241358","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}
BME frontiersPub Date : 2021-07-30eCollection Date: 2021-01-01DOI: 10.34133/2021/9893804
DongHun Ryu, Jinho Kim, Daejin Lim, Hyun-Seok Min, In Young Yoo, Duck Cho, YongKeun Park
{"title":"Label-Free White Blood Cell Classification Using Refractive Index Tomography and Deep Learning.","authors":"DongHun Ryu, Jinho Kim, Daejin Lim, Hyun-Seok Min, In Young Yoo, Duck Cho, YongKeun Park","doi":"10.34133/2021/9893804","DOIUrl":"10.34133/2021/9893804","url":null,"abstract":"<p><p><i>Objective and Impact Statement</i>. We propose a rapid and accurate blood cell identification method exploiting deep learning and label-free refractive index (RI) tomography. Our computational approach that fully utilizes tomographic information of bone marrow (BM) white blood cell (WBC) enables us to not only classify the blood cells with deep learning but also quantitatively study their morphological and biochemical properties for hematology research. <i>Introduction</i>. Conventional methods for examining blood cells, such as blood smear analysis by medical professionals and fluorescence-activated cell sorting, require significant time, costs, and domain knowledge that could affect test results. While label-free imaging techniques that use a specimen's intrinsic contrast (e.g., multiphoton and Raman microscopy) have been used to characterize blood cells, their imaging procedures and instrumentations are relatively time-consuming and complex. <i>Methods</i>. The RI tomograms of the BM WBCs are acquired via Mach-Zehnder interferometer-based tomographic microscope and classified by a 3D convolutional neural network. We test our deep learning classifier for the four types of bone marrow WBC collected from healthy donors (<math><mi>n</mi><mo>=</mo><mn>10</mn></math>): monocyte, myelocyte, B lymphocyte, and T lymphocyte. The quantitative parameters of WBC are directly obtained from the tomograms. <i>Results</i>. Our results show >99% accuracy for the binary classification of myeloids and lymphoids and >96% accuracy for the four-type classification of B and T lymphocytes, monocyte, and myelocytes. The feature learning capability of our approach is visualized via an unsupervised dimension reduction technique. <i>Conclusion</i>. We envision that the proposed cell classification framework can be easily integrated into existing blood cell investigation workflows, providing cost-effective and rapid diagnosis for hematologic malignancy.</p>","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521749/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241357","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}
BME frontiersPub Date : 2021-04-07eCollection Date: 2021-01-01DOI: 10.34133/2021/9834163
Alicia Megia-Fernandez, Adam Marshall, Ahsan R Akram, Bethany Mills, Sunay V Chankeshwara, Emma Scholefield, Amy Miele, Bruce C McGorum, Chesney Michaels, Nathan Knighton, Tom Vercauteren, Francois Lacombe, Veronique Dentan, Annya M Bruce, Joanne Mair, Robert Hitchcock, Nik Hirani, Chris Haslett, Mark Bradley, Kevin Dhaliwal
{"title":"Optical Detection of Distal Lung Enzyme Activity in Human Inflammatory Lung Disease.","authors":"Alicia Megia-Fernandez, Adam Marshall, Ahsan R Akram, Bethany Mills, Sunay V Chankeshwara, Emma Scholefield, Amy Miele, Bruce C McGorum, Chesney Michaels, Nathan Knighton, Tom Vercauteren, Francois Lacombe, Veronique Dentan, Annya M Bruce, Joanne Mair, Robert Hitchcock, Nik Hirani, Chris Haslett, Mark Bradley, Kevin Dhaliwal","doi":"10.34133/2021/9834163","DOIUrl":"10.34133/2021/9834163","url":null,"abstract":"<p><p><i>Objective and Impact Statement.</i> There is a need to develop platforms delineating inflammatory biology of the distal human lung. We describe a platform technology approach to detect <i>in situ</i> enzyme activity and observe drug inhibition in the distal human lung using a combination of matrix metalloproteinase (MMP) optical reporters, fibered confocal fluorescence microscopy (FCFM), and a bespoke delivery device. <i>Introduction</i>. The development of new therapeutic agents is hindered by the lack of <i>in vivo in situ</i> experimental methodologies that can rapidly evaluate the biological activity or drug-target engagement in patients. <i>Methods</i>. We optimised a novel highly quenched optical molecular reporter of enzyme activity (FIB One) and developed a translational pathway for in-human assessment. <i>Results</i>. We demonstrate the specificity for matrix metalloproteases (MMPs) 2, 9, and 13 and probe dequenching within physiological levels of MMPs and feasibility of imaging within whole lung models in preclinical settings. Subsequently, in a first-in-human exploratory experimental medicine study of patients with fibroproliferative lung disease, we demonstrate, through FCFM, the MMP activity in the alveolar space measured through FIB One fluorescence increase (with pharmacological inhibition). <i>Conclusion</i>. This translational <i>in situ</i> approach enables a new methodology to demonstrate active drug target effects of the distal lung and consequently may inform therapeutic drug development pathways.</p>","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43406068","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}
BME frontiersPub Date : 2021-02-17eCollection Date: 2021-01-01DOI: 10.34133/2021/6185616
Xiaoyang Liu, Parag Karmarkar, Dirk Voit, Jens Frahm, Clifford R Weiss, Dara L Kraitchman, Paul A Bottomley
{"title":"Real-Time High-Resolution MRI Endoscopy at up to 10 Frames per Second.","authors":"Xiaoyang Liu, Parag Karmarkar, Dirk Voit, Jens Frahm, Clifford R Weiss, Dara L Kraitchman, Paul A Bottomley","doi":"10.34133/2021/6185616","DOIUrl":"https://doi.org/10.34133/2021/6185616","url":null,"abstract":"<p><p><i>Objective</i>. Atherosclerosis is a leading cause of mortality and morbidity. Optical endoscopy, ultrasound, and X-ray offer minimally invasive imaging assessments but have limited sensitivity for characterizing disease and therapeutic response. Magnetic resonance imaging (MRI) endoscopy is a newer idea employing tiny catheter-mounted detectors connected to the MRI scanner. It can see through vessel walls and provide soft-tissue sensitivity, but its slow imaging speed limits practical applications. Our goal is high-resolution MRI endoscopy with real-time imaging speeds comparable to existing modalities. <i>Methods</i>. Intravascular (3 mm) transmit-receive MRI endoscopes were fabricated for highly undersampled radial-projection MRI in a clinical 3-tesla MRI scanner. Iterative nonlinear reconstruction was accelerated using graphics processor units connected via a single ethernet cable to achieve true real-time endoscopy visualization at the scanner. MRI endoscopy was performed at 6-10 frames/sec and 200-300 <i>μ</i>m resolution in human arterial specimens and porcine vessels <i>ex vivo</i> and <i>in vivo</i> and compared with fully sampled 0.3 frames/sec and three-dimensional reference scans using mutual information (MI) and structural similarity (3-SSIM) indices. <i>Results</i>. High-speed MRI endoscopy at 6-10 frames/sec was consistent with fully sampled MRI endoscopy and histology, with feasibility demonstrated <i>in vivo</i> in a large animal model. A 20-30-fold speed-up vs. 0.3 frames/sec reference scans came at a cost of ~7% in MI and ~45% in 3-SSIM, with reduced motion sensitivity. <i>Conclusion</i>. High-resolution MRI endoscopy can now be performed at frame rates comparable to those of X-ray and optical endoscopy and could provide an alternative to existing modalities, with MRI's advantages of soft-tissue sensitivity and lack of ionizing radiation.</p>","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521714/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241359","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}
BME frontiersPub Date : 2021-01-25eCollection Date: 2021-01-01DOI: 10.34133/2021/3973857
Darian S James, Paul J Campagnola
{"title":"Recent Advancements in Optical Harmonic Generation Microscopy: Applications and Perspectives.","authors":"Darian S James, Paul J Campagnola","doi":"10.34133/2021/3973857","DOIUrl":"10.34133/2021/3973857","url":null,"abstract":"<p><p>Second harmonic generation (SHG) and third harmonic generation (THG) microscopies have emerged as powerful imaging modalities to examine structural properties of a wide range of biological tissues. Although SHG and THG arise from very different contrast mechanisms, the two are complimentary and can often be collected simultaneously using a modified multiphoton microscope. In this review, we discuss the needed instrumentation for these modalities as well as the underlying theoretical principles of SHG and THG in tissue and describe how these can be leveraged to extract unique structural information. We provide an overview of recent advances showing how SHG microscopy has been used to evaluate collagen alterations in the extracellular matrix and how this has been used to advance our knowledge of cancers, fibroses, and the cornea, as well as in tissue engineering applications. Specific examples using polarization-resolved approaches and machine learning algorithms are highlighted. Similarly, we review how THG has enabled developmental biology and skin cancer studies due to its sensitivity to changes in refractive index, which are ubiquitous in all cell and tissue assemblies. Lastly, we offer perspectives and outlooks on future directions of SHG and THG microscopies and present unresolved questions, especially in terms of overall miniaturization and the development of microendoscopy instrumentation.</p>","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521653/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241360","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}
BME frontiersPub Date : 2021-01-15eCollection Date: 2021-01-01DOI: 10.34133/2021/8653218
Wubin Bai, Masahiro Irie, Zhonghe Liu, Haiwen Luan, Daniel Franklin, Khizar Nandoliya, Hexia Guo, Hao Zang, Yang Weng, Di Lu, Di Wu, Yixin Wu, Joseph Song, Mengdi Han, Enming Song, Yiyuan Yang, Xuexian Chen, Hangbo Zhao, Wei Lu, Giuditta Monti, Iwona Stepien, Irawati Kandela, Chad R Haney, Changsheng Wu, Sang Min Won, Hanjun Ryu, Alina Rwei, Haixu Shen, Jihye Kim, Hong-Joon Yoon, Wei Ouyang, Yihan Liu, Emily Suen, Huang-Yu Chen, Jerry Okina, Jushen Liang, Yonggang Huang, Guillermo A Ameer, Weidong Zhou, John A Rogers
{"title":"Bioresorbable Multilayer Photonic Cavities as Temporary Implants for Tether-Free Measurements of Regional Tissue Temperatures.","authors":"Wubin Bai, Masahiro Irie, Zhonghe Liu, Haiwen Luan, Daniel Franklin, Khizar Nandoliya, Hexia Guo, Hao Zang, Yang Weng, Di Lu, Di Wu, Yixin Wu, Joseph Song, Mengdi Han, Enming Song, Yiyuan Yang, Xuexian Chen, Hangbo Zhao, Wei Lu, Giuditta Monti, Iwona Stepien, Irawati Kandela, Chad R Haney, Changsheng Wu, Sang Min Won, Hanjun Ryu, Alina Rwei, Haixu Shen, Jihye Kim, Hong-Joon Yoon, Wei Ouyang, Yihan Liu, Emily Suen, Huang-Yu Chen, Jerry Okina, Jushen Liang, Yonggang Huang, Guillermo A Ameer, Weidong Zhou, John A Rogers","doi":"10.34133/2021/8653218","DOIUrl":"10.34133/2021/8653218","url":null,"abstract":"<p><p><i>Objective and Impact Statement</i>. Real-time monitoring of the temperatures of regional tissue microenvironments can serve as the diagnostic basis for treating various health conditions and diseases. <i>Introduction</i>. Traditional thermal sensors allow measurements at surfaces or at near-surface regions of the skin or of certain body cavities. Evaluations at depth require implanted devices connected to external readout electronics via physical interfaces that lead to risks for infection and movement constraints for the patient. Also, surgical extraction procedures after a period of need can introduce additional risks and costs. <i>Methods</i>. Here, we report a wireless, bioresorbable class of temperature sensor that exploits multilayer photonic cavities, for continuous optical measurements of regional, deep-tissue microenvironments over a timeframe of interest followed by complete clearance via natural body processes. <i>Results</i>. The designs decouple the influence of detection angle from temperature on the reflection spectra, to enable high accuracy in sensing, as supported by in vitro experiments and optical simulations. Studies with devices implanted into subcutaneous tissues of both awake, freely moving and asleep animal models illustrate the applicability of this technology for in vivo measurements. <i>Conclusion</i>. The results demonstrate the use of bioresorbable materials in advanced photonic structures with unique capabilities in tracking of thermal signatures of tissue microenvironments, with potential relevance to human healthcare.</p>","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521677/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241319","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}
BME frontiersPub Date : 2021-01-01DOI: 10.34133/2021/9823268
Lei Li, Lihong V Wang
{"title":"Recent advances in photoacoustic tomography.","authors":"Lei Li, Lihong V Wang","doi":"10.34133/2021/9823268","DOIUrl":"https://doi.org/10.34133/2021/9823268","url":null,"abstract":"<p><p>Photoacoustic tomography (PAT) that integrates the molecular contrast of optical imaging with the high spatial resolution of ultrasound imaging in deep tissue has widespread applications in basic biological science, preclinical research and clinical trials. Recently, tremendous progress has been made in PAT regarding technical innovations, preclinical applications, and clinical translations. Here, we selectively review the recent progresses and advances in PAT, including the development of advanced PAT systems for small-animal and human imaging, newly engineered optical probes for molecular imaging, broad-spectrum PAT for label-free imaging of biological tissues, high-throughput snapshot photoacoustic topography, and integration of machine learning for image reconstruction and processing. We envision that PAT will have further technical developments and more impactful applications in biomedicine.</p>","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085577/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9301089","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}
BME frontiersPub Date : 2020-12-25eCollection Date: 2020-01-01DOI: 10.34133/2020/7190517
Richard H Roth, Jun B Ding
{"title":"From Neurons to Cognition: Technologies for Precise Recording of Neural Activity Underlying Behavior.","authors":"Richard H Roth, Jun B Ding","doi":"10.34133/2020/7190517","DOIUrl":"https://doi.org/10.34133/2020/7190517","url":null,"abstract":"<p><p>Understanding how brain activity encodes information and controls behavior is a long-standing question in neuroscience. This complex problem requires converging efforts from neuroscience and engineering, including technological solutions to perform high-precision and large-scale recordings of neuronal activity <i>in vivo</i> as well as unbiased methods to reliably measure and quantify behavior. Thanks to advances in genetics, molecular biology, engineering, and neuroscience, in recent decades, a variety of optical imaging and electrophysiological approaches for recording neuronal activity in awake animals have been developed and widely applied in the field. Moreover, sophisticated computer vision and machine learning algorithms have been developed to analyze animal behavior. In this review, we provide an overview of the current state of technology for neuronal recordings with a focus on optical and electrophysiological methods in rodents. In addition, we discuss areas that future technological development will need to cover in order to further our understanding of the neural activity underlying behavior.</p>","PeriodicalId":72430,"journal":{"name":"BME frontiers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241316","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}