CAREER: Three-dimensional super-resolution light microscopy of thick, unprocessed biological samples
CAREER: Three-dimensional super-resolution light microscopy of thick, unprocessed biological samples
批准号:
2042563
负责人:
Ana Doblas
金额:
$59.32万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-03-15 至 2024-02-29
中文摘要
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英文摘要
An award is made to the University of Memphis to develop an innovative imaging system for unstained cells, tissues, and organs. Current imaging systems cannot image thick samples with high resolution. This project will overcome this limitation by developing an instrument that will provide thick-sample imaging with high resolution. This project will integrate research and education to stimulate interest in Optical Engineering, providing students with a unique set of skills for succeeding in their professional careers. Optical Engineering is the field of study that focuses on the development and application of optics and photonics, including instrumentation. In this project, five educational activities are focused on transferring the knowledge of Optical Engineering. These educational activities include the following: (1) an online Optical Engineering Certificate; (2) a Summer Workshop in Advanced Optical Microscopic Techniques; (3) the creation of a STEM club in Lausanne Collegiate School so high-school students can develop science projects that are generally not possible in science classrooms; (4) a partnership with the Pink Palace Museum to expose the public to optics and microscopy; and (5) summer internships to undergraduate students, exposing them to research activities and new career paths. This project has several broader impacts. The most important broader impact is the enhancement of the imaging infrastructure for biological research and expanding our knowledge of cell behavior. Another significant broader impact is the increase in career opportunities for undergraduate and graduate students. During this project, the PI will create research, education, and scientific outreach videos using the YouTube platform. These videos will provide hands-on demonstrations of building imaging systems and the use of optical tools to align them. Students involved in this project will participate in these videos, allowing them to develop a deeper understanding of the topic and improving their communication skills. The videos will be available in English and Spanish audio to support the educational growth of Hispanic students across the United States.Available methods of light microscopy do not enable three-dimensional (3D) super-resolution (SR) imaging of thick (50 μm) biological samples without staining. This limitation results in a significant gap in our understanding of dynamic changes occurring in the 3D cell-shape and behavior of unstained specimens. This project will enable biological investigators to advance their knowledge of a large number of biological questions relating to cell growth and dynamics as well as for investigating cell behavior in thick tissue slices. The intellectual merit of the proposed imaging system includes novel advances in hardware and computational methods. The evaluation of the proposed system will be performed using calibrated manufactured objects and relevant biological specimens including human neuroblastoma cells, primary murine stem cells, and murine blastocysts. The interdisciplinary team involved in this project will systematically compare images obtained with the proposed system with images from existing methods including confocal microscopy, the Lionheart FX system, and the NanoLive platform.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.
期刊论文(19)
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DOI:
10.1016/j.optlaseng.2023.107937
发表时间:
2024
期刊:
Optics and Lasers in Engineering
影响因子:
4.6
作者:
[S. Obando-Vásquez;A. Doblas;Carlos Trujillo]
通讯作者:
S. Obando-Vásquez;A. Doblas;Carlos Trujillo
Research Outreach Interdisciplinary Activity to classify olive oil blends integrating multicolor imaging, image processing, and machine learning
研究推广跨学科活动,整合多色成像、图像处理和机器学习对橄榄油混合物进行分类
DOI:
--
发表时间:
2023
期刊:
Undergraduate Research Journal
影响因子:
--
作者:
[Abraham, Allan, Balachandran, Kameshwaran, Doblas, Ana]
通讯作者:
Doblas, Ana
DOI:
10.1119/5.0081673
发表时间:
2022-09
期刊:
American Journal of Physics
影响因子:
0.9
作者:
[S. Obando-Vásquez;A. Doblas;C. Trujillo]
通讯作者:
S. Obando-Vásquez;A. Doblas;C. Trujillo
Accurate and Fast Phase Compensation of Dynamic Samples in Digital Holographic Microscopy
数字全息显微镜中动态样品的精确快速相位补偿
DOI:
--
发表时间:
2023
期刊:
pcAOP
影响因子:
--
作者:
[Obando-Vasquez, Sofia, Doblas, Ana, Trujillo, Carlos]
通讯作者:
Trujillo, Carlos
Computational algorithm that enables synergetic phase compensation and automatic focusing for off-axis Digital Holographic Microscopy operating in telecentric mode
计算算法可实现远心模式下离轴数字全息显微镜的协同相位补偿和自动聚焦
DOI:
10.1364/3d.2023.dtu3a.5
发表时间:
2023
期刊:
pcAOP
影响因子:
--
作者:
[Castaneda, Raul., Trujillo, Carlos., Doblas, Ana.]
通讯作者:
Doblas, Ana.
共 14 条
CAREER: Three-dimensional super-resolution light microscopy of thick, unprocessed biological samples
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批准号:2404769
-
项目类别:Continuing Grant
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资助金额:$59.32万
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财政年份:2023
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负责人:Ana Doblas
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依托单位:
海外基金