CAREER: Unlocking Deep-Tissue Dynamics with Ultrabroadband Multiplex Label-Free Microscopy
职业:利用超宽带多重无标记显微镜解锁深层组织动力学
基本信息
- 批准号:2339338
- 负责人:
- 金额:$ 61.95万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-04-01 至 2029-03-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Microscopy has revolutionized our understanding of the biological world since its inception centuries ago. Label-free microscopy stands out for its ability to investigate living systems by capitalizing on the inherent optical signatures of cells. This eliminates the need for staining agents, thereby preserving the natural state of biological specimens and enabling an authentic representation of dynamic cellular processes. However, the reach of current label-free techniques is hindered by a fundamental compromise between molecular sensitivity, specificity, and imaging depth. The objective of this CAREER proposal is to overcome these barriers through the development of innovative light sources, excitation methods, and algorithmic reconstruction techniques. This project will develop new fiber optic sources and imaging platforms tailored for intrinsic contrast extraction from deep within living tissues, mitigating perturbation and enhancing molecular contrast. Such advancements promise to enable breakthroughs across physics, biology, and biomedical engineering, with direct implications for the real-time exploration and diagnosis of diseases in their native environments. In addition, this project will leverage existing outreach programs at MIT to provide K-12 students and teachers with access to the micro-world and understanding of the working principles of imaging by developing LEGO-based microscope modules. The education and outreach program are designed to spark curiosity and deepen STEM literacy among students from diverse backgrounds, with particular emphasis on engaging groups traditionally underrepresented in the sciences. By connecting research with education, this project aims to not only expand the frontiers of label-free imaging but also to cultivate a more inclusive and well-rounded future scientific community.The goal of this CAREER proposal is to establish a research program focusing on advanced label-free imaging technologies, with the potential to enhance disease diagnosis and therapeutic assessment. Current gold-standard methods for evaluating cellular metabolism and tissue changes, including histochemistry, fluorescent antibody tags, and genetically encoded imaging probes, are fundamentally limited by their necessity to physically, chemically, or genetically alter the biosystems. Label-free nonlinear microscopy circumvents these limitations by harnessing intrinsic molecular contrast within the tissue, offering real-time metabolic and structural imaging of living tissue without modifications. However, the reach of current label-free techniques is hindered by a fundamental compromise between molecular sensitivity, specificity, and imaging depth. This project seeks to enable transformative capabilities in label-free imaging through innovations in visible-to-SWIR (short-wavelength infrared) light generation and shaping, with three directions: (1) pioneer a high-peak-power, tunable, visible-to-SWIR fiber source for deep-tissue label-free multiplex imaging; (2) leverage ultrabroadband spectral shaping solutions; (3) optimize excitation and reconstruction for high-throughput hyperspectral label-free imaging. Achieving these imaging capabilities will represent a major milestone in our long-term effort of delivering label-free imaging technologies that rival or surpass the capabilities of label-based imaging, thereby advancing our characterization and understanding of dynamic biological processes with minimal perturbation and immediate clinical translation potential.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
显微术自几个世纪前诞生以来,已经彻底改变了我们对生物世界的理解。无标签显微镜通过利用细胞固有的光学特征来研究生命系统的能力脱颖而出。这消除了对染色剂的需要,从而保留了生物标本的自然状态,并使动态细胞过程的真实表现成为可能。然而,目前无标签技术的发展受到分子灵敏度、特异性和成像深度之间的基本妥协的阻碍。本CAREER提案的目标是通过开发创新光源、激发方法和算法重建技术来克服这些障碍。该项目将开发新的光纤光源和成像平台,用于从活体组织深处提取固有对比度,减轻扰动并增强分子对比度。这些进步有望在物理学、生物学和生物医学工程领域取得突破,对疾病在其原生环境中的实时探索和诊断产生直接影响。此外,该项目将利用麻省理工学院现有的外展项目,通过开发基于乐高的显微镜模块,为K-12学生和教师提供接触微观世界的机会,并了解成像的工作原理。教育和推广计划旨在激发来自不同背景的学生的好奇心,加深STEM素养,特别强调吸引传统上在科学领域代表性不足的群体。通过将研究与教育联系起来,该项目不仅旨在拓展无标签成像的前沿领域,还旨在培养一个更包容、更全面的未来科学社区。本CAREER提案的目标是建立一个研究项目,专注于先进的无标签成像技术,具有增强疾病诊断和治疗评估的潜力。目前用于评估细胞代谢和组织变化的金标准方法,包括组织化学,荧光抗体标签和遗传编码成像探针,从根本上受到物理,化学或遗传改变生物系统的必要性的限制。无标签非线性显微镜通过利用组织内固有的分子对比来规避这些限制,提供活体组织的实时代谢和结构成像而无需修改。然而,目前无标签技术的发展受到分子灵敏度、特异性和成像深度之间的基本妥协的阻碍。该项目旨在通过在可见光到短波红外(swir)光的产生和成型方面的创新,实现无标签成像的变革能力,主要有三个方向:(1)为深层组织无标签多路成像开拓一个峰值功率、可调、可见到swir光纤源;(2)利用超宽带频谱整形解决方案;(3)优化高通量无标签高光谱成像的激发和重建。实现这些成像能力将是我们长期努力提供无标签成像技术的一个重要里程碑,这些技术可以与基于标签的成像技术相媲美或超越,从而促进我们对动态生物过程的表征和理解,使其具有最小的扰动和立即的临床转化潜力。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Sixian You其他文献
Wound-like tumor periphery in human breast cancer predicts a convergent drug nonresponse
人类乳腺癌中的伤口样肿瘤外围预示着药物无反应的趋同性
- DOI:
10.1101/2021.11.02.467008 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Lianhuang Li;Xiaoxia Liao;F. Fu;Gangqin Xi;D. Kang;Jiajia He;Wenhui Guo;Lida Qiu;Zhong;Xingfu Wang;Q. Zhan;Sixian You;Jianxin Chen;Chuanwang Wang;S. Boppart;H. Tu - 通讯作者:
H. Tu
High-Fidelity and High-Speed Wavefront Shaping through Complex Media via Sparsity-Constrained Optimization
通过稀疏约束优化通过复杂介质实现高保真和高速波前整形
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Li;Sixian You - 通讯作者:
Sixian You
Optical parametric amplification of gated confocal reflectance microscopy signals in scattering media
散射介质中门控共焦反射显微镜信号的光学参量放大
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Yi Sun;H. Tu;Sixian You;S. Boppart - 通讯作者:
S. Boppart
Deep and Dynamic Metabolic and Structural Imaging in Living Tissues
活组织的深层动态代谢和结构成像
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Kunzan Liu;Honghao Cao;Kasey Shashaty;Li;Sarah Spitz;F. M. Pramotton;Zhengpeng Wan;Ellen L. Kan;Erin N Tevonian;Manuel Levy;Eva Lendaro;R. Kamm;Linda G. Griffith;Fan Wang;Tong Qiu;Sixian You - 通讯作者:
Sixian You
Spectroscopic Raman Analysis of Tumor Micro- and Macroenvironments in Human Breast and Rat Mammary Cancer
人类乳腺癌和大鼠乳腺癌肿瘤微环境和宏观环境的光谱拉曼分析
- DOI:
10.1364/cancer.2016.ctu4a.5 - 发表时间:
2016 - 期刊:
- 影响因子:6.2
- 作者:
Sixian You;H. Tu;Youbo Zhao;Y. Liu;E. Chaney;M. Marjanovic;S. Boppart - 通讯作者:
S. Boppart
Sixian You的其他文献
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