3D Virtual Slide System for Creation and Analysis of Focusable Digital Slides
3D Virtual Slide System for Creation and Analysis of Focusable Digital Slides
批准号:
7356264
负责人:
JACOB R GLASER
金额:
$36.25万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-01-01 至 2010-08-31
关键词:
ArchivesArtsBiologicalBlood capillariesBrain imagingBrain regionCell CountCell SizeCellsCollaborationsComputer softwareComputersCountDataDepthDetectionDiseaseEnsureFluorescent DyesGoalsHistologyImageInternetIntranetInvestigationLabelLaboratory AnimalsLengthManualsMethodsMicroscopeMicroscopyMonitorMusNerve DegenerationNerve FibersNeuronsNeurosciencesNeurosciences ResearchNuclearNumbersOpticsPan GenusPathogenesisRateReproducibilityResearch PersonnelResolutionSlideSpatial DistributionSpecimenStem Cell ResearchSystemTechnologyTestingThree-Dimensional ImageThree-Dimensional ImagingTissuesbasecapillarycell typecomputerizedcostdensitydesigndigitaldigital imagingexperiencefile formatfrontierimprovedinnovationinterestlensneurogenesisneuropsychiatryneurotoxicologypostsynapticpresynapticreconstructionsoftware developmenttoolvirtual
中文摘要
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): Rigorous quantification methods of histological specimens have become a keystone in modern neuroscience such as investigations of neurogenesis, stem cell research, neurotransplantation, neurotoxicology, and the pathogenesis of neurodegenerative and neuropsychiatric diseases. Methods in current practice are not conducive to high-throughput studies because they are often manual and laborious to perform. There is a noticeable lack of computerized automated 3D quantitative histological analysis tools which can operate on large 3D image volumes. Furthermore, the widespread use of fluorescently labeled tissue sections imposes other limitations, particularly fading of fluorescent dyes, limited availability and tremendous costs of high-end confocal microscopes. We propose to develop a commercial system (Biolucida") to overcome this unsatisfactory situation. The core of Biolucida will be 3D virtual slides, which are digital representations (in X, Y and Z) of tissue specimens imaged through a microscope at the highest optical resolution. We will develop software for the acquisition, automated quantitative histological analysis, viewing, sharing and archiving of 3D virtual slides. As such, the use of Biolucida will fully surmount the aforementioned limitations. Consequently we expect that the launch of Biolucida will revolutionize the quantitative analysis of fluorescently labeled tissue sections in modern neuroscience.
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