DUET: Rapid dual-mode microscopy for quantitative slide-based renal fibrosis evaluation
DUET:快速双模式显微镜用于基于载玻片的肾纤维化定量评估
基本信息
- 批准号:10261643
- 负责人:
- 金额:$ 9.17万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-15 至 2021-09-14
- 项目状态:已结题
- 来源:
- 关键词:AcuteAffectAgreementAlgorithmsAllograftingArchivesArtificial IntelligenceAtrophicBasement membraneBiomedical EngineeringBiopsyBuffaloesCaringCessation of lifeChemicalsChronic Kidney FailureCicatrixClinicalCollagenComputer softwareComputersConsumptionDataData ScienceData SourcesDetectionDevelopmentDiagnosisDiagnosticDiseaseEnd stage renal failureEnsureEtiologyEvaluationFibrillar CollagenFibrosisFluorescenceFormalinGoalsGoldHematoxylin and Eosin Staining MethodHistologicHistologyImageImage AnalysisIndividualInjuryInstitutionInterobserver VariabilityKidneyKidney DiseasesKidney FailureLaboratoriesLinkMachine LearningManualsMeasuresMethodsMicroscopeMicroscopyNatural HistoryOpticsOrganParaffin EmbeddingPathologistPathologyPathway interactionsPatient-Focused OutcomesPatientsPerformancePreparationProceduresProcessPropertyQuantitative MicroscopyRecurrenceRenal Replacement TherapyRenal functionReproducibilityResearchRetrospective StudiesRunningScientistSeverity of illnessSignal TransductionSirius Red F3BSiteSlideStagingStainsStandardizationSystemTechniquesTechnologyTestingTherapeuticTimeTissue EmbeddingTissuesTrichrome stain methodTubular formationUniversitiesValidationbasebody systemclinical careclinical practiceclinically significantcohortcostcost effectivedesigndigitaldigital pathologyfollow-uphistological stainsinstrumentinstrumentationkidney biopsykidney fibrosismacromoleculenoveloutcome forecastpersonalized diagnosticspredict clinical outcomepredictive modelingprognosticprognostic valuesoftware developmentstemtooltransmission process
项目摘要
Contact PD/PI: Fereidouni, Farzad
Abstract
Kidneys, like other organs, have an inherent capacity to recover from acute injury; however, severe or
recurrent injury can result in chronic kidney disease (CKD), the sequelae of which result in 82,000 deaths
annually in the US alone. Regardless of the etiology of the initial injury, the common final pathway leading to-
end stage renal disease is closely connected to fibrosis(excess or aberrant collagen distribution), one of the
most important determinants of renal disease severity and prognosis. Histology is the gold standard for
evaluation, typically through the use of histochemical stains such as trichrome and PAS that highlight the
presence of collagens and basement membrane, respectively. Nevertheless, these stains are not completely
specific, can be technically challenging to perform well and reproducibly, and thus contribute to interobserver
variability and a concomitant decrease in diagnostic precision. Moreover, they also require the preparation of
extra slides and additional staining procedures, and thus increase cost and can prolong the diagnostic process.
We propose to optimize, deploy and test a new kind of microscope, DUET (DUal mode Emission and
Transmission microscopy), developed at UC Davis, that will be a low-cost and very rapid solution for detection
and digital characterization of the presence and distribution of collagen and other macromolecules, directly
from standard formalin-fixed, paraffin-embedded hematoxylin and eosin-stained slides. Specifically, we will
finalize the design of the hardware and software components of the instrument itself, validate imaging
performance against standard histology and immunohistochemical stains for collagen and other components,
and with the assistance of scientists at our partnering institutions (John Hopkins University and University of
Buffalo) develop robust tools for analysis and quantitation of fibrosis. DUET instrument hardware will be shared
with JHU to ensure that the methods are technically reproducible across multiple sites.
The application leverages the expertise across three institutions in optics, biomedical engineering, renal
pathology and novel artificial intelligence approaches. The goal of the project is development and validation of
DUET, which promises to be a robust, inexpensive and practical approach for the rapid and accurate
evaluation of fibrosis, extensible to other renal pathologies, and indeed across other organs systems, with
significant positive impact on disease research, clinical practice, and patient outcomes.
Page 6
Project Summary/Abstract
联系PD/PI: Fereidouni, Farzad
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)
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Farzad Fereidouni其他文献
Farzad Fereidouni的其他文献
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{{ truncateString('Farzad Fereidouni', 18)}}的其他基金
GigaFIBI; rapid, large-format histology-resolution imaging for Intraoperative assessment of breast lumpectomy margins
千兆FIBI;
- 批准号:
10568823 - 财政年份:2023
- 资助金额:
$ 9.17万 - 项目类别:
Rapid quantitative renal fibrosis evaluation with dual-mode microscopy
使用双模式显微镜快速定量评估肾纤维化
- 批准号:
10345257 - 财政年份:2022
- 资助金额:
$ 9.17万 - 项目类别:
Rapid quantitative renal fibrosis evaluation with dual-mode microscopy
使用双模式显微镜快速定量评估肾纤维化
- 批准号:
10543527 - 财政年份:2022
- 资助金额:
$ 9.17万 - 项目类别:
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