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
基本信息
- 批准号:10707486
- 负责人:
- 金额:$ 36.19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-21 至 2027-06-30
- 项目状态:未结题
- 来源:
- 关键词:AddressAwardBackBiologicalBiological ProcessBiologyCellsClassificationComplexComputing MethodologiesDetectionDiseaseFoundationsFunctional ImagingFutureGoalsImageImaging DeviceLabelLaboratoriesLightingMedicineMethodsMicroscopyMolecularMorphologyNational Institute of General Medical SciencesOptical MethodsOpticsPhasePhenotypePumpResearchResearch PersonnelSpectrum AnalysisStagingSystemTechniquesTechnologyVisionWorkcostdeep neural networkdisease diagnosisimage translationimaging modalityimprovedinnovationmolecular imagingnoveloptical imagingprogramssignal processingsoftware developmenttechnology developmenttoolultraviolet
项目摘要
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.
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.
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Real-time semantic segmentation and anomaly detection of functional images for cell therapy manufacturing.
- DOI:10.1016/j.jcyt.2023.08.011
- 发表时间:2023-09
- 期刊:
- 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:
- 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:
- 影响因子:0
- 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:
- 影响因子:0
- 作者:Filan,Caroline;Charles,Seleipiri;CasteleiroCosta,Paloma;Niu,Weibo;Cheng,BrianF;Wen,Zhexing;Lu,Hang;Robles,FranciscoE
- 通讯作者:Robles,FranciscoE
Analysis of structural effects of sickle cell disease on brain vasculature of mice using three-dimensional quantitative phase imaging.
- DOI:10.1117/1.jbo.28.9.096501
- 发表时间:2023-09
- 期刊:
- 影响因子:3.5
- 作者:
- 通讯作者:
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{{ truncateString('Francisco E Robles', 18)}}的其他基金
Deep-UV Microscopy for Real-Time Adequacy Analysis of Bone Marrow Aspirates
用于骨髓抽吸物实时充分性分析的深紫外显微镜
- 批准号:
10761397 - 财政年份:2023
- 资助金额:
$ 36.19万 - 项目类别:
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:
10501498 - 财政年份:2022
- 资助金额:
$ 36.19万 - 项目类别:
Stimulated Raman scattering spectroscopic optical coherence tomography (SRS-SOCT) for label-free molecular imaging of brain tumor pathology
受激拉曼散射光谱光学相干断层扫描 (SRS-SOCT) 用于脑肿瘤病理学无标记分子成像
- 批准号:
9443282 - 财政年份:2018
- 资助金额:
$ 36.19万 - 项目类别:
Multi-modality optical molecular imaging for melanoma tumor margin assessment
用于黑色素瘤肿瘤边缘评估的多模态光学分子成像
- 批准号:
8649948 - 财政年份:2014
- 资助金额:
$ 36.19万 - 项目类别:
Multi-modality optical molecular imaging for melanoma tumor margin assessment
用于黑色素瘤肿瘤边缘评估的多模态光学分子成像
- 批准号:
8874744 - 财政年份:2014
- 资助金额:
$ 36.19万 - 项目类别:
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