I-Corps: Skin autofluorescence imager for rapidly assessing skin wound healing

I-Corps:皮肤自发荧光成像仪,用于快速评估皮肤伤口愈合情况

基本信息

  • 批准号:
    2344821
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-12-01 至 2024-11-30
  • 项目状态:
    已结题

项目摘要

The broader impact/commercial potential of this I-Corps project is the development of a quantitative autofluorescence imaging technology to address the need for diagnostic information in skin wound care. Currently, limited diagnostic information can be obtained from skin biopsies of non-healing wounds, and there is a lack of biomarkers and tools to assess healing status. Very few non-invasive imaging modalities are used in wound centers, and there is no device capable of assessing cellular function and evaluating whether wounds are adequately healing in real time. A skin autofluorescence imager capable of identifying regions of active skin wound healing may assist clinicians with their treatment plans, which could reduce the rates of mortality and amputation for the millions of Americans suffering from chronic wounds. The proposed imager relies on contrast sources that are intrinsic to all cells and tissues and may have other applications as well, such as skin cancer and aging. This I-Corps project is based on the development of advanced imaging and analysis techniques to assess metabolic dysfunction based on cellular autofluorescence. Prior work has primarily focused on aging and wound healing applications and provided key insights for extracting relevant biochemical and structural information from autofluorescence images using multiphoton microscopy. Spectral isolation of cellular autofluorescence can allow for predictions of whether epithelial cells are quiescent, proliferative, or migrating along the edge of a skin wound. An autofluorescence imager that is faster and far less expensive than multiphoton microscopy has been developed with hyperspectral capabilities. Currently, both chronic wounds diagnosis and treatment plan evaluation are performed through visual inspection and wound size measurements acquired over a period of several weeks. This standard of care does not involve the use of any diagnostic technologies that can assess whether the wound is actively closing in real-time. The proposed technology may distinguish changes in the concentrations of multiple naturally fluorescence molecules in cells and tissues that will be used to predict and map locations where skin wounds are actively healing or stuck in a proliferative/inflammatory state. Established image processing techniques can be combined with the device to automatically classify skin wound status and discriminate different wound features. The proposed device will be designed as a point-of-care imaging device for wound centers.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.
I-Corps项目更广泛的影响/商业潜力是开发定量自身荧光成像技术,以满足皮肤伤口护理诊断信息的需求。目前,从未愈合伤口的皮肤活检中获得的诊断信息有限,并且缺乏评估愈合状态的生物标志物和工具。很少有非侵入性成像方式用于伤口中心,也没有能够实时评估细胞功能和评估伤口是否充分愈合的设备。一种能够识别活跃皮肤伤口愈合区域的皮肤自体荧光成像仪可以帮助临床医生制定治疗计划,从而降低数百万患有慢性伤口的美国人的死亡率和截肢率。所提出的成像仪依赖于所有细胞和组织固有的对比度源,也可能有其他应用,如皮肤癌和衰老。这个I-Corps项目是基于先进的成像和分析技术的发展,以评估基于细胞自身荧光的代谢功能障碍。先前的工作主要集中在老化和伤口愈合的应用上,并为使用多光子显微镜从自身荧光图像中提取相关的生化和结构信息提供了关键的见解。细胞自身荧光的光谱分离可以预测上皮细胞是静止的、增殖的还是沿着皮肤伤口边缘迁移的。一种比多光子显微镜更快、更便宜的具有高光谱能力的自体荧光成像仪已经被开发出来。目前,慢性伤口的诊断和治疗方案的评估都是通过几周内的目视检查和伤口大小测量来进行的。这种护理标准不涉及使用任何可以实时评估伤口是否主动闭合的诊断技术。所提出的技术可以区分细胞和组织中多种天然荧光分子浓度的变化,这些变化将用于预测和绘制皮肤伤口正在积极愈合或处于增殖/炎症状态的位置。结合已有的图像处理技术,可以对皮肤伤口状态进行自动分类,区分不同的伤口特征。所提出的设备将被设计为伤口中心的即时成像设备。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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Kyle Quinn其他文献

Kyle Quinn的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Kyle Quinn', 18)}}的其他基金

CAREER: Integrating quantitative biomarkers of mitochondrial structure and function through endogenous cellular fluorescence
职业:通过内源细胞荧光整合线粒体结构和功能的定量生物标志物
  • 批准号:
    1846853
  • 财政年份:
    2019
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant

相似海外基金

Developing a 3D printed skin model using a Dextran - Collagen hydrogel to analyse the cellular and epigenetic effects of interleukin-17 inhibitors in
使用右旋糖酐-胶原蛋白水凝胶开发 3D 打印皮肤模型,以分析白细胞介素 17 抑制剂的细胞和表观遗传效应
  • 批准号:
    2890513
  • 财政年份:
    2027
  • 资助金额:
    $ 5万
  • 项目类别:
    Studentship
Nano-structured RC Networks - A Pathway To Artificial Skin
纳米结构 RC 网络 - 人造皮肤的途径
  • 批准号:
    EP/Y002172/1
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Research Grant
CICI: TCR: Transitioning Differentially Private Federated Learning to Enable Collaborative, Intelligent, Fair Skin Disease Diagnostics on Medical Imaging Cyberinfrastructure
CICI:TCR:转变差异化私有联合学习,以实现医学影像网络基础设施上的协作、智能、公平的皮肤病诊断
  • 批准号:
    2319742
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
SBIR Phase I: Novel Camera-Projector Device Leveraging Markerless Skin Registration and Projected Augmented Reality Software to Enable Navigation for Minimally Invasive Procedures
SBIR 第一阶段:新型相机投影仪设备利用无标记皮肤配准和投影增强现实软件实现微创手术导航
  • 批准号:
    2321906
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
STTR Phase II: Dermatologist-level detection of suspicious pigmented skin lesions from high-resolution full-body images
STTR II 期:通过高分辨率全身图像对可疑色素性皮肤病变进行皮肤科医生级别的检测
  • 批准号:
    2335086
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Cooperative Agreement
Maturation and resolution of Staphylococcus aureus skin abscess
金黄色葡萄球菌皮肤脓肿的成熟和消退
  • 批准号:
    MR/Y000447/1
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Fellowship
Investigating human immune responses to Staphylococcus aureus skin infection to accelerate vaccine development
研究人体对金黄色葡萄球菌皮肤感染的免疫反应以加速疫苗开发
  • 批准号:
    MR/X032736/1
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Fellowship
EAGER: Flexible and compressible e-Skin integrated with soft magnetic coil based ultra-thin actuator and touch sensor for robotics applications
EAGER:灵活且可压缩的电子皮肤与基于软磁线圈的超薄执行器和触摸传感器集成,适用于机器人应用
  • 批准号:
    2337074
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: EDGE CMT: A four-dimensional genotype-phenotype map of poison frog skin color
合作研究:EDGE CMT:毒蛙肤色的四维基因型-表型图
  • 批准号:
    2319711
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
Collaborative Research: Evolving thicker skin: Understanding how adaptations to a universal trade-off dictate the climate vulnerability and ecology of an imperiled vertebrate clade
合作研究:进化更厚的皮肤:了解对普遍权衡的适应如何决定濒临灭绝的脊椎动物进化枝的气候脆弱性和生态
  • 批准号:
    2247610
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了