课题基金 / 基金详情

Accessible label-free optical microscopy with quantitative molecular and functional contrast

Accessible label-free optical microscopy with quantitative molecular and functional contrast
易于使用的无标记光学显微镜,具有定量分子和功能对比
批准号:
10707486
负责人:
Francisco E Robles
金额:
$36.19万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-09-21 至 2027-06-30

项目摘要

项目成果

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中文摘要
翻译
项目概要/摘要: 实验室研究概述:光学成像和光谱学(OIS)实验室专注于 支持和推进光学技术,以帮助提高对生物过程的理解, 识别疾病的能力。具体来说,OIS实验室专注于无标记成像,线性和非线性光谱- 复制和先进的信号处理技术,以获得新形式的功能和分子信息, 形成各种应用。到目前为止,这些努力已经导致了光谱光学共- 相干显微镜(SOCT),定量相位成像(QPI),非线性泵浦-探测显微镜,和刺激, 延迟拉曼散射(SRS)。该实验室开创了几种新形式的分子对比,包括分子- 光重定向,非线性相位色散光谱,紫外超光谱成像,和色散- 基于SRS该实验室还开发了新的计算方法,用于分析光谱和形态 以无监督的方式进行。最后,这些方法已被应用于帮助细胞识别和 表型分析、基础生物学研究、疾病检测和分期等。 未来五年的目标,以及研究计划的总体愿景:最近,OIS实验室开创了 定量斜背照明显微镜(qOBM),并取得了重要进展,深紫外- 让(紫外)显微镜作为一种手段,以解决生物学和医学的关键挑战。在过去的五年里, 这个建议,这个计划就是要探索这些非常有前途的新工具的能力。通过 结合系统/硬件和计算/软件的发展,拟议的计划将显示 这些无标记光学方法的巨大效用,以揭示关键的分子,功能和结构 目前不可能获得或需要昂贵或复杂系统的细节。主要 这项工作的重点是技术开发,但它也将探索一些应用程序, 迫切需要这种无标记、非侵入性、低成本、易于使用的成像方法。 拟议的计划将形成一个强大的平台,指导未来的创新。一个明显的例子是搭售 在新兴计算方法的巨大力量中,这种用于图像翻译的深度神经网络, 的作用和分类。此外,随着所提出的工具的出现以及对它们的更好理解, 能力,研究人员将能够冒险进入更有针对性的努力,以定制这些工具的具体应用, 阳离子。因此,所提出的工作和它在未来将实现的功能可能具有巨大的潜力 to improve改善and influence影响biology生物and medicine医学.
英文摘要
Project Summary/Abstract: Overview of research in the laboratory: The Optical Imaging and Spectroscopy (OIS) laboratory focuses in de- veloping and advancing optical technologies to help improve the understanding of biological processes and the ability to identify disease. Specifically, the OIS lab focuses on label-free imaging, linear and nonlinear spectros- copy, and advanced signal processing techniques to gain access to novel forms of functional and molecular in- formation for a variety of applications. To date, these efforts have led to advances in spectroscopic optical co- herence microscopy (SOCT), quantitative phase imaging (QPI), nonlinear pump-probe microscopy, and stimu- lated Raman scattering (SRS). The lab has pioneered several new forms of molecular contrast, including molec- ular reorientation, nonlinear phase dispersion spectroscopy, ultraviolet hyperspectral imaging, and dispersion- based SRS. The lab has also developed new computational methods for analyzing spectral and morphological features in an unsupervised manner. Finally, these methods have been applied to help in cell identification and phenotyping, basic biological studies, disease detection and staging, and more. Goals for the next five years, and the overall vision of the research program: Recently, the OIS lab pioneered quantitative oblique back illumination microscopy (qOBM) and has made important advances in deep ultravio- let (UV) microscopy as a means to address critical challenges in biology and medicine. Over the five years of this proposal, this program seeks to explore the capabilities of these highly promising new tools. Through a combination of system/hardware and computational/software developments, the proposed program will show the tremendous utility of these label-free optical methods to reveal critical molecular, functional, and structural detail that is currently impossible to obtain or requires prohibitive expensive or complex systems.. The main focus of the work is on technology development, but it will also explore a number of applications that are in dire need of such label-free, non-invasive, low-cost, easy-to-use imaging methods. The proposed program will lead to a robust platform that will guide future innovation. A clear example is tying in the tremendous power of emerging computational methods, such deep neural networks for image transla- tion and classification. Additionally, with the advent of the proposed tools and a better understanding of their capabilities, researchers will be able to venture into more targeted effort to tailor these tools for specific appli- cations. Thus, the proposed work and the capabilities it will enable in the future can have tremendous potential to improve and influence biology and medicine.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.jcyt.2023.08.011
发表时间: 2023-09
期刊: Cytotherapy
影响因子: 4.5
作者: [Rui Qi Chen;Benjamin Joffe;Paloma Casteleiro Costa;Caroline Filan;Bryan Wang;Stephen Balakirsky;F. Robles;Krishnendu Roy;Jing Li]
通讯作者: Rui Qi Chen;Benjamin Joffe;Paloma Casteleiro Costa;Caroline Filan;Bryan Wang;Stephen Balakirsky;F. Robles;Krishnendu Roy;Jing Li
Partially coherent broadband 3D optical transfer functions with arbitrary temporal and angular power spectra.
具有任意时间和角功率谱的部分相干宽带3D光传递函数。
DOI: 10.1063/5.0123206
发表时间: 2023-04-01
期刊: APL photonics
影响因子: 5.6
作者: []
通讯作者:
Label-Free Functional Analysis of Root-Associated Microbes with Dynamic Quantitative Oblique Back-illumination Microscopy.
使用动态定量斜背照式显微镜对根部相关微生物进行无标记功能分析。
DOI: 10.21203/rs.3.rs-3517586/v1
发表时间: 2023
期刊: Research square
影响因子: --
作者: [Filan,Caroline, Green,Madison, Diering,Abigail, Cicerone,MarcusT, Cheung,LilyS, Kostka,JoelE, Robles,FranciscoE]
通讯作者: Robles,FranciscoE
Non-Invasive Label-free Analysis Pipeline for In Situ Characterization of Differentiation in 3D Brain Organoid Models.
用于 3D 脑类器官模型分化原位表征的非侵入性无标记分析流程。
DOI: 10.21203/rs.3.rs-4049577/v1
发表时间: 2024
期刊: Research square
影响因子: --
作者: [Filan,Caroline, Charles,Seleipiri, CasteleiroCosta,Paloma, Niu,Weibo, Cheng,BrianF, Wen,Zhexing, Lu,Hang, Robles,FranciscoE]
通讯作者: Robles,FranciscoE
Deep-UV Microscopy for Real-Time Adequacy Analysis of Bone Marrow Aspirates
  • 批准号:
    10761397
  • 项目类别:
  • 资助金额:
    $27.58万
  • 财政年份:
    2023
  • 负责人:
    Francisco E Robles
  • 依托单位:
Accessible label-free optical microscopy with quantitative molecular and functional contrast
  • 批准号:
    10501498
  • 项目类别:
  • 资助金额:
    $36.75万
  • 财政年份:
    2022
  • 负责人:
    Francisco E Robles
  • 依托单位:
Stimulated Raman scattering spectroscopic optical coherence tomography (SRS-SOCT) for label-free molecular imaging of brain tumor pathology
  • 批准号:
    9443282
  • 项目类别:
  • 资助金额:
    $18.91万
  • 财政年份:
    2018
  • 负责人:
    Francisco E Robles
  • 依托单位:
Multi-modality optical molecular imaging for melanoma tumor margin assessment
  • 批准号:
    8649948
  • 项目类别:
  • 资助金额:
    $5.33万
  • 财政年份:
    2014
  • 负责人:
    Francisco E Robles
  • 依托单位:
海外基金