InForm image segmentation image analysis software and Vectra automation system
InForm image segmentation image analysis software and Vectra automation system
批准号:
7790887
负责人:
Gustavo Enrique Ayala
金额:
$35.35万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-01 至 2011-07-31
关键词:
Applications GrantsArtsAutomationBiological MarkersCancer CenterCellsColorComputer softwareDataDiseaseFacultyImageImage AnalysisMalignant NeoplasmsMalignant neoplasm of prostateMedicineMethodologyMicroscopeModalityMouse Models of Human Cancer ConsortiumProcessProstatePublicationsReproduction sporesResearchResearch PersonnelSamplingSlideSystemTissue MicroarrayTissuesTranslatingVisible Radiationbasecancer carecancer cellcollegedata acquisitionflexibilityhealth care deliveryimaging Segmentationimprovedinstrumentinstrumentationliquid crystal polymermembernovel therapeutic interventionprognosticprognostic indicatorprogramssegmentation Image analysissoftware systemstumortumor progression
中文摘要
描述(由申请人提供):此共享仪器赠款提案的重点是收购VectraTM和inFormTM自动图像分析系统,以支持丹L。贝勒医学院邓肯癌症中心。该显微镜、相机和软件系统允许对载玻片组(多达200个)或组织阵列进行自动化和定量成像。相机和软件允许荧光和可见光范围颜色的分段定量,从而允许基于每个细胞或每个组织区域对多种颜色标记物进行定量分析。软件是可训练的,以允许最大的灵活性。该仪器的初步使用将极大地有利于前列腺癌的SPORE,U54肿瘤微环境项目,U01人类癌症联盟项目的小鼠模型和两个R01项目。该仪器将提供给癌症中心成员以外的前列腺研究计划和其他教师在贝勒医学院。该共享仪器项目的近期目标是利用该仪器的多种模式,使用大型组织阵列或载玻片样本在细胞水平上提供多种生物标志物的可靠和自动化定量图像分析。使用任何其他方法都无法准确合理地获得这些定量数据。我们相信,这种仪器将提供数据,从根本上彻底改变生物标志物的研究。丹L的广泛目标之一。邓肯癌症中心是提供更好的癌症护理通过新的发现,涉及两个预后指标和新的治疗方法。该仪器系统将被许多研究人员用于几个不同的项目,每个项目都在评估原发癌细胞和肿瘤微环境中癌症进展的生物标志物。研究人员团队已经合作多年,在生物标志物研究和定义肿瘤微环境方面的出版物有着良好的记录。所要求的仪器是最先进的,将允许采集数据,否则将不可能。我们完全预计这些数据将在新的方向上扩展癌症和肿瘤微环境研究领域,并将演变成关键的发现,这些发现将转化为对疾病过程的更清晰的理解,更好的免疫学和改善的医疗保健服务。
英文摘要
DESCRIPTION (provided by applicant): This Shared Instrumentation Grant proposal is focused on the acquisition of the VectraTM and inFormTM automated image analysis system to support projects in the Dan L. Duncan Cancer Center at Baylor College of Medicine. This microscope, camera and software system permits automated and quantitative imaging of either slide sets (up to 200) or tissue arrays. Camera and software permits segment quantitation of both fluorescent and visible light range colors that allows for quantitative analysis of multiple color markers on a per cell or per tissue field basis. Software is trainable to allow for maximum flexibility. Initial use of this instrumentation will greatly benefit the SPORE in Prostate Cancer, the U54 Tumor Microenvironment Project, the U01 Mouse Models of Human Cancer Consortium Project and two R01 projects. The instrumentation will be available to Cancer Center members outside the Prostate Research Program and other faculty at Baylor College of Medicine. The immediate objectives of this Shared Instrumentation project is to utilize the multiple modalities of this instrument to provide reliable and automated quantitative image analysis of multiple biomarkers at the cellular level using large tissue arrays or slide samples. This quantitative data cannot be accurately and reasonably acquired using any other methodology. We believe that this instrument will provide data that will essentially revolutionize biomarker research. One of the broad objectives of the Dan L. Duncan Cancer Center is to provide better cancer care through new discovery that involves both prognostic indicators and new therapeutic approaches. This instrumentation system will be used by many investigators on several different projects that are each evaluating biomarkers for cancer progression in both the primary cancer cells and in the tumor microenvironment. The team of investigators has collaborated for many years with an excellent track record of publications in biomarker research and defining the tumor microenvironment. The requested instrumentation is state of the art and will permit the acquisition of data that would not otherwise be possible. We fully anticipate this data will extend the field of cancer and tumor microenvironment research in new directions and will evolve into key findings that will translate to more clear understandings of disease processes, better prognostics, and improved health care delivery.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1016/j.humpath.2017.02.014
发表时间:
2017-05
期刊:
Human pathology
影响因子:
3.3
作者:
[K. Hammerich;A. Frolov;Rile Li;M. Ittmann;G. Ayala]
通讯作者:
K. Hammerich;A. Frolov;Rile Li;M. Ittmann;G. Ayala
Comprehensive Tumor Microenvironment Based Prediction Models in Prostate Cancer
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批准号:8109106
-
项目类别:
-
资助金额:$32.47万
-
财政年份:2011
-
负责人:Gustavo Enrique Ayala
-
依托单位:
Comprehensive Tumor Microenvironment Based Prediction Models in Prostate Cancer
-
批准号:8504754
-
项目类别:
-
资助金额:$29.58万
-
财政年份:2011
-
负责人:Gustavo Enrique Ayala
-
依托单位:
Comprehensive Tumor Microenvironment Based Prediction Models in Prostate Cancer
-
批准号:8676696
-
项目类别:
-
资助金额:$29.93万
-
财政年份:2011
-
负责人:Gustavo Enrique Ayala
-
依托单位:
HUMAN TISSUE ACQUISITION AND PATHOLOGY
-
批准号:8180989
-
项目类别:
-
资助金额:$15.47万
-
财政年份:2010
-
负责人:Gustavo Enrique Ayala
-
依托单位:
Neurogenesis in the Prostate Cancer Microenvironment
-
批准号:7244459
-
项目类别:
-
资助金额:$12.0万
-
财政年份:2006
-
负责人:Gustavo Enrique Ayala
-
依托单位:
HUMAN TISSUE ACQUISITION AND PATHOLOGY
-
批准号:8296125
-
项目类别:
-
资助金额:$14.01万
-
财政年份:--
-
负责人:Gustavo Enrique Ayala
-
依托单位:
HUMAN TISSUE ACQUISITION AND PATHOLOGY
-
批准号:8690554
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项目类别:
-
资助金额:$12.68万
-
财政年份:--
-
负责人:Gustavo Enrique Ayala
-
依托单位:
Neurogenesis in the Prostate Cancer Microenvironment
-
批准号:8128542
-
项目类别:
-
资助金额:$16.97万
-
财政年份:--
-
负责人:Gustavo Enrique Ayala
-
依托单位:
Neurogenesis in the Prostate Cancer Microenvironment
-
批准号:7494162
-
项目类别:
-
资助金额:$25.21万
-
财政年份:--
-
负责人:Gustavo Enrique Ayala
-
依托单位:
HUMAN TISSUE ACQUISITION AND PATHOLOGY
-
批准号:8515960
-
项目类别:
-
资助金额:$19.61万
-
财政年份:--
-
负责人:Gustavo Enrique Ayala
-
依托单位:
Neurogenesis in the Prostate Cancer Microenvironment
-
批准号:7687278
-
项目类别:
-
资助金额:$19.07万
-
财政年份:--
-
负责人:Gustavo Enrique Ayala
-
依托单位:
Neurogenesis in the Prostate Cancer Microenvironment
-
批准号:7896567
-
项目类别:
-
资助金额:$27.58万
-
财政年份:--
-
负责人:Gustavo Enrique Ayala
-
依托单位:
HUMAN TISSUE ACQUISITION AND PATHOLOGY
-
批准号:8376824
-
项目类别:
-
资助金额:$13.67万
-
财政年份:--
-
负责人:Gustavo Enrique Ayala
-
依托单位:
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