Med-XPub Date : 2025-01-01Epub Date: 2025-11-17DOI: 10.1007/s44258-025-00066-2
Justin Chen, Raymond Fang, Xiaorong Liu, Hao F Zhang
{"title":"Optical strategies for in vivo retinal ganglion cell imaging.","authors":"Justin Chen, Raymond Fang, Xiaorong Liu, Hao F Zhang","doi":"10.1007/s44258-025-00066-2","DOIUrl":"10.1007/s44258-025-00066-2","url":null,"abstract":"<p><p>Retinal ganglion cells (RGCs) are essential in transmitting visual information from the retina to the brain, and their impairment has been linked to glaucoma and various neuro-ophthalmic diseases. In vivo imaging of RGC morphology and functionality is crucial for understanding the pathophysiology of retinal disease caused by RGC degeneration and their responses to treatments. This review provides a comprehensive overview of optical technologies suitable for in vivo RGC imaging. First, we compare scanning laser ophthalmoscopy, optical coherence tomography, and two-photon imaging and discuss their effectiveness in quantifying RGC damage in retinal disorders. Then, we discuss how functional vascular imaging techniques and specialized fluorophores, such as capQ and GCaMP, can be exploited to provide deeper insights into the physiology of RGCs. Lastly, we highlight the clinical translation of these imaging modalities, emphasizing handheld devices and clinical workflows to improve the image acquisition process. We also highlight the emerging role of machine learning, which automates tasks such as segmentation and disease classification to improve the efficiency of large data analysis.</p><p><strong>Graphical abstract: </strong></p>","PeriodicalId":74169,"journal":{"name":"Med-X","volume":"3 1","pages":"21"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12628489/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145566565","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}
Med-XPub Date : 2025-01-01Epub Date: 2025-11-28DOI: 10.1007/s44258-025-00071-5
Priscilla Y Hwang, Panagiotis Mistriotis, Haogang Cai, Longwei Liu, Bo Zhang, Quinton Smith, Jacopo Ferruzzi, Peter Yingxiao Wang, Song Li
{"title":"Frontiers in mechanobiology and mechanomedicine.","authors":"Priscilla Y Hwang, Panagiotis Mistriotis, Haogang Cai, Longwei Liu, Bo Zhang, Quinton Smith, Jacopo Ferruzzi, Peter Yingxiao Wang, Song Li","doi":"10.1007/s44258-025-00071-5","DOIUrl":"10.1007/s44258-025-00071-5","url":null,"abstract":"<p><p>This perspective derives from the presentations and discussions on mechanobiology at the 2025 Cellular and Molecular Bioengineering Conference in San Diego. Mechanobiological processes play critical roles in tissue development, regeneration, and disease progression. Recent advances in engineering, biology, and medicine have enabled the translation of mechanobiology discoveries into clinical practice, giving rise to the emerging field of mechanomedicine. The development and application of engineering technology and tools have provided new insights into how mechanical cues regulate immune cell response, stem cell differentiation, cell migration, and cell metabolism. In this perspective, we highlight exciting discoveries and innovative tools in mechanobiology research, and discuss challenges that must be overcome to truly bridge the gap between mechanobiology and mechanomedicine.</p><p><strong>Graphical abstract: </strong></p>","PeriodicalId":74169,"journal":{"name":"Med-X","volume":"3 1","pages":"23"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12662876/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145650351","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":"A review of light-field imaging in biomedical sciences.","authors":"Ruixuan Zhao, Xuanwen Hua, Woongjae Baek, Zhaoqiang Wang, Shu Jia, Liang Gao","doi":"10.1007/s44258-025-00070-6","DOIUrl":"10.1007/s44258-025-00070-6","url":null,"abstract":"<p><p>Light-field imaging is an emerging paradigm in biomedical optics, offering the unique ability to capture volumetric information in a single snapshot by encoding both the spatial and angular components of light. Unlike conventional three-dimensional (3D) imaging modalities that rely on mechanical or optical scanning, light-field imaging enables high-speed volumetric acquisition, making it particularly well-suited for capturing rapid biological dynamics. This review outlines the theoretical foundations of light-field imaging and surveys its core implementations across microscopy, mesoscopy, and endoscopy. Special attention is given to the fundamental trade-offs between imaging speed, spatial resolution, and depth of field, as well as recent advances that address these limitations through compressive sensing, deep learning, and meta-optics. By positioning light-field imaging within the broader landscape of biomedical imaging technologies, we highlight its unique strengths, existing challenges, and future potential as a scalable and versatile tool for biological discovery and clinical applications.</p><p><strong>Graphical abstract: </strong></p>","PeriodicalId":74169,"journal":{"name":"Med-X","volume":"3 1","pages":"25"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12705775/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145776377","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}
Med-XPub Date : 2024-12-01Epub Date: 2024-10-21DOI: 10.1007/s44258-024-00030-6
Aman Majmudar, Saehyun Kim, Pengju Li, Bozhi Tian
{"title":"Perspectives on non-genetic optoelectronic modulation biointerfaces for advancing healthcare.","authors":"Aman Majmudar, Saehyun Kim, Pengju Li, Bozhi Tian","doi":"10.1007/s44258-024-00030-6","DOIUrl":"10.1007/s44258-024-00030-6","url":null,"abstract":"<p><p>Advancements in optoelectronic biointerfaces have revolutionized healthcare by enabling targeted stimulation and monitoring of cells, tissues, and organs. Photostimulation, a key application, offers precise control over biological processes, surpassing traditional modulation methods with increased spatial resolution and reduced invasiveness. This perspective highlights three approaches in non-genetic optoelectronic photostimulation: nanostructured phototransducers for cellular stimulation, micropatterned photoelectrode arrays for tissue stimulation, and thin-film flexible photoelectrodes for multiscale stimulation. Nanostructured phototransducers provide localized stimulation at the cellular or subcellular level, facilitating cellular therapy and regenerative medicine. Micropatterned photoelectrode arrays offer precise tissue stimulation, critical for targeted therapeutic interventions. Thin-film flexible photoelectrodes combine flexibility and biocompatibility for scalable medical applications. Beyond neuromodulation, optoelectronic biointerfaces hold promise in cardiology, oncology, wound healing, and endocrine and respiratory therapies. Future directions include integrating these devices with advanced imaging and feedback systems, developing wireless and biocompatible devices for long-term use, and creating multifunctional devices that combine photostimulation with other therapies. The integration of light and electronics through these biointerfaces paves the way for innovative, less invasive, and more accurate medical treatments, promising a transformative impact on patient care across various medical fields.</p>","PeriodicalId":74169,"journal":{"name":"Med-X","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12382441/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981406","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}
Med-XPub Date : 2024-07-18DOI: 10.1007/s44258-024-00025-3
Allan Sun, Arian Nasser, Chaohao Chen, Y. Zhao, Haimei Zhao, Zihao Wang, Wenlong Cheng, Pierre Qian, L. Ju
{"title":"Strategic reuse of rapid antigen tests for coagulation status assessment: an integrated machine learning approach","authors":"Allan Sun, Arian Nasser, Chaohao Chen, Y. Zhao, Haimei Zhao, Zihao Wang, Wenlong Cheng, Pierre Qian, L. Ju","doi":"10.1007/s44258-024-00025-3","DOIUrl":"https://doi.org/10.1007/s44258-024-00025-3","url":null,"abstract":"","PeriodicalId":74169,"journal":{"name":"Med-X","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141827717","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}
Med-XPub Date : 2024-06-03DOI: 10.1007/s44258-024-00022-6
David T. She, M. Nai, C. T. Lim
{"title":"Atomic force microscopy in the characterization and clinical evaluation of neurological disorders: current and emerging technologies","authors":"David T. She, M. Nai, C. T. Lim","doi":"10.1007/s44258-024-00022-6","DOIUrl":"https://doi.org/10.1007/s44258-024-00022-6","url":null,"abstract":"","PeriodicalId":74169,"journal":{"name":"Med-X","volume":"113 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141272197","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}
Med-XPub Date : 2024-05-21DOI: 10.1007/s44258-024-00020-8
Han-Sem Kim, Tanza Baby, Jung-Hwan Lee, U. Shin, Hae-Won Kim
{"title":"Biomaterials-enabled electrical stimulation for tissue healing and regeneration","authors":"Han-Sem Kim, Tanza Baby, Jung-Hwan Lee, U. Shin, Hae-Won Kim","doi":"10.1007/s44258-024-00020-8","DOIUrl":"https://doi.org/10.1007/s44258-024-00020-8","url":null,"abstract":"","PeriodicalId":74169,"journal":{"name":"Med-X","volume":"4 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141114692","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}
Med-XPub Date : 2024-05-03DOI: 10.1007/s44258-024-00021-7
Yu Yong, Yicong Cai, Jiawei Lin, Lin Ma, HongBin Han, Fenfang Li
{"title":"Advancement in modulation of brain extracellular space and unlocking its potential for intervention of neurological diseases","authors":"Yu Yong, Yicong Cai, Jiawei Lin, Lin Ma, HongBin Han, Fenfang Li","doi":"10.1007/s44258-024-00021-7","DOIUrl":"https://doi.org/10.1007/s44258-024-00021-7","url":null,"abstract":"","PeriodicalId":74169,"journal":{"name":"Med-X","volume":"20 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141014715","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}