Practical high resolution microscopy of un-cut, un-embedded lung biopsies
Practical high resolution microscopy of un-cut, un-embedded lung biopsies
批准号:
9408066
负责人:
Michael John Levene
金额:
$109.13万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-07-02 至 2019-07-31
关键词:
AdoptionAncillary StudyBiopsyBiopsy SpecimenCaringClientClinicalClinical ResearchComputer softwareConsultationsCore BiopsyDNADataDevelopmentDevicesDiagnosisDiagnosticDistressElementsEnvironmentError SourcesEvaluationFailureFeedbackFundingGrowthHistologicHistologyHospital SizesHospitalsHourImageImage AnalysisImageryLaboratory PersonnelLiquid substanceLungMalignant NeoplasmsMalignant neoplasm of lungManualsMethodologyMethodsMicroscopeMicroscopyMolecularMolecular AnalysisMolecular TargetMorphologic artifactsOrganPathologistPathologyPatient riskPatientsPatternPharmaceutical PreparationsPharmacologic SubstancePhasePreparationPriceProceduresProcessProtocols documentationReagentResearchResolutionRunningSample SizeSamplingServicesSiteSlideSmall Business Innovation Research GrantSolidSpecimenSpeedStaining methodStainsSystemSystems DevelopmentTechnologyTestingTimeTissue imagingTissuesTrainingUpdateVertebral columnVisualWorkbasecancer diagnosiscostdesigndesign and constructiondiagnostic accuracydigitalimaging approachimprovedinstrumentationnovelnovel strategiespersonalized medicinepressureprototypesuccesstertiary caretissue processingtrendvirtual
中文摘要
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英文摘要
Project Summary and Relevance
The aim of this Phase II SBIR proposal from Applikate Technologies, LLC, is to build on the successful
completion of our Phase I milestones with the design, construction, and testing of prototype devices and
software for implementing the ClearView tissue histology system in clinical settings by laboratory personnel.
ClearView is a novel approach to performing complete and non-destructive imaging of tissue specimens for
lung and other cancers.
Lung cancer biopsy diagnosis error rates may run as high as 15%. Although there are many potential
sources of error, important aspects relate to limitations of current methods for tissue processing and analysis.
Standard methods limit the amount of tissue that can be visualized by the diagnostic pathologist and that is
available for personalized-medicine testing. They also are not amenable to consultation with off-site experts
and are dependent on manual processing by adequately trained histotechnologists. Applikate Technologies
has developed ClearView, a complete, non-destructive, fast, tissue processing and imaging approach to
histology that improves on limits of slide-based histology by providing complete tissue visualization, reducing
artifacts of preparation, permitting improved quantitative interpretation, showing additional growth pattern
information, and eliminating extensive manual preparation. The ClearView system yields images that are, in
many cases, superior even to traditionally processed histology slides with pseudo-coloring that is virtually
indistinguishable from conventional staining, all in an entirely digital format ready for remote access and
storage. And ClearView is fast enough to provide diagnostic quality images in under two hours for same day
diagnosis. We have also demonstrated, during our Phase I funding, that the ClearView process yields orders of
magnitude more DNA for molecular analyses and is compatible with immunohistochemical staining.
Furthermore, the methodology is applicable not only to lung cancer diagnosis, but to evaluation of practically
any solid tissue cancer.
The specific aims of the proposal are to: 1) Develop an application-specific, high-speed multiphoton
microscope and associated software; 2) Develop the ClearView prototype tissue chamber, and 3) Develop the
ClearView prototype tissue processor. These three elements, along with proprietary reagents, form the core of
the ClearView system. Following in-house testing, two complete prototype systems will be placed in two
hospitals, one a large tertiary care center and the second a mid-sized hospital, for on-site testing and feedback
by non-expert users in a clinical setting. Successful completion of these aims will set the stage for a Phase III
transition to regulatory approval and provide a proven platform for early implementation through service work
for academic research and clinical research groups.
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Commercial Readiness for Direct-to-Digital Pathology
-
批准号:11000919
-
项目类别:
-
资助金额:$46.61万
-
财政年份:2024
-
负责人:Michael John Levene
-
依托单位:
Commercial Readiness for Direct-to-Digital Pathology
-
批准号:10678409
-
项目类别:
-
资助金额:$22.49万
-
财政年份:2023
-
负责人:Michael John Levene
-
依托单位:
Practical high resolution microscopy of uncut, unembedded kidney biopsies
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批准号:10017984
-
项目类别:
-
资助金额:$47.19万
-
财政年份:2019
-
负责人:Michael John Levene
-
依托单位:
A new approach to fast, diagnostic-quality, intraoperative microscopic examination
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批准号:8981239
-
项目类别:
-
资助金额:$21.67万
-
财政年份:2015
-
负责人:Michael John Levene
-
依托单位:
Fluorescence Fluctuation Spectroscopy for von Willebrand Factor Multimer Analysis
-
批准号:7888313
-
项目类别:
-
资助金额:$24.83万
-
财政年份:2009
-
负责人:Michael John Levene
-
依托单位:
Fluorescence Fluctuation Spectroscopy for von Willebrand Factor Multimer Analysis
-
批准号:7740289
-
项目类别:
-
资助金额:$15.4万
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财政年份:2009
-
负责人:Michael John Levene
-
依托单位:
海外基金