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POSEA: A novel algorithm to evaluate the performance of multi-object instance image segmentation

PloS one, 2023-03, Vol.18 (3), p.e0283692-e0283692

2023

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Signal Transducer and Activator of Transcription 3, Mediated Remodeling of the Tumor Microenvironment Results in Enhanced Tumor Drug Delivery in a Mouse Model of Pancreatic Cancer

Gastroenterology (New York, N.Y. 1943), 2015-12, Vol.149 (7), p.1932-1943.e9

2015

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Optical Imaging of Drug-Induced Metabolism Changes in Murine and Human Pancreatic Cancer Organoids Reveals Heterogeneous Drug Response

Pancreas, 2016-07, Vol.45 (6), p.863-869

2016

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In Vivo Autofluorescence Imaging of Tumor Heterogeneity in Response to Treatment

Neoplasia (New York, N.Y.), 2015-12, Vol.17 (12), p.862-870

2015

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Optical metabolic imaging of treatment response in human head and neck squamous cell carcinoma

PloS one, 2014-03, Vol.9 (3), p.e90746-e90746

2014

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Volumetric imaging of human mesenchymal stem cells (hMSCs) for non-destructive quantification of 3D cell culture growth

PloS one, 2023-03, Vol.18 (3), p.e0282298-e0282298

2023

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Drug response in organoids generated from frozen primary tumor tissues

Scientific reports, 2016-01, Vol.6 (1), p.18889-18889, Article 18889

2016

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Carbomer-based adjuvant elicits CD8 T-cell immunity by inducing a distinct metabolic state in cross-presenting dendritic cells

PLoS pathogens, 2021-01, Vol.17 (1), p.e1009168-e1009168

2021

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In vivo fluorescence lifetime imaging of macrophage intracellular metabolism during wound responses in zebrafish

eLife, 2022-02, Vol.11

2022

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3D convolutional neural networks predict cellular metabolic pathway use from fluorescence lifetime decay data

APL bioengineering, 2024-03, Vol.8 (1), p.016112-016112-12

2024

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Label-free spatially maintained measurements of metabolic phenotypes in cells

Frontiers in bioengineering and biotechnology, 2023-11, Vol.11, p.1293268-1293268

2023

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Comparison of phasor analysis and biexponential decay curve fitting of autofluorescence lifetime imaging data for machine learning prediction of cellular phenotypes

Frontiers in bioinformatics, 2023-06, Vol.3, p.1210157-1210157

2023

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Evaluation of Cellpose segmentation with sequential thresholding for instance segmentation of cytoplasms within autofluorescence images

Computers in biology and medicine, 2024-09, Vol.179, p.108846, Article 108846

2024

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Perfusability and immunogenicity of implantable pre-vascularized tissues recapitulating features of native capillary network

Bioactive materials, 2023-12, Vol.30, p.184-199

2023

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Quantitative optical imaging of primary tumor organoid metabolism predicts drug response in breast cancer

Cancer research (Chicago, Ill.), 2014-09, Vol.74 (18), p.5184-5194

2014

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Optical Metabolic Imaging Identifies Glycolytic Levels, Subtypes, and Early-Treatment Response in Breast Cancer

Cancer research (Chicago, Ill.), 2013-10, Vol.73 (20), p.6164-6174

2013

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Mutant KRAS Exosomes Alter the Metabolic State of Recipient Colonic Epithelial Cells

Cellular and molecular gastroenterology and hepatology, 2018-01, Vol.5 (4), p.627-629.e6

2018

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Identification of rare cell populations in autofluorescence lifetime image data

Cytometry. Part A, 2022-06, Vol.101 (6), p.497-506

2022

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Extracellular pH affects the fluorescence lifetimes of metabolic co-factors

Journal of biomedical optics, 2021-05, Vol.26 (5), p.056502-056502

2021

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Fluorescence intensity and lifetime redox ratios detect metabolic perturbations in T cells

Biomedical optics express, 2020-10, Vol.11 (10), p.5674-5688

2020

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Functional Optical Imaging of Primary Human Tumor Organoids: Development of a Personalized Drug Screen

Journal of Nuclear Medicine, 2017-09, Vol.58 (9), p.1367-1372

2017

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Optical metabolic imaging quantifies heterogeneous cell populations

Biomedical optics express, 2015-02, Vol.6 (2), p.559-573

2015

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Classification of T-cell activation via autofluorescence lifetime imaging

Nature biomedical engineering, 2021-01, Vol.5 (1), p.77

2021

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Classifying T cell activity in autofluorescence intensity images with convolutional neural networks

Journal of biophotonics, 2020-03, Vol.13 (3), p.e201960050-n/a

2020

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Decellularized organ biomatrices facilitate quantifiable in vitro 3D cancer metastasis models

Soft matter, 2022-08, Vol.18 (31), p.5791-5806

2022

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POSEA: A novel algorithm to evaluate the performance of multi-object instance image segmentation

Signal Transducer and Activator of Transcription 3, Mediated Remodeling of the Tumor Microenvironment Results in Enhanced Tumor Drug Delivery in a Mouse Model of Pancreatic Cancer

Optical Imaging of Drug-Induced Metabolism Changes in Murine and Human Pancreatic Cancer Organoids Reveals Heterogeneous Drug Response

In Vivo Autofluorescence Imaging of Tumor Heterogeneity in Response to Treatment

Optical metabolic imaging of treatment response in human head and neck squamous cell carcinoma

Volumetric imaging of human mesenchymal stem cells (hMSCs) for non-destructive quantification of 3D cell culture growth

Drug response in organoids generated from frozen primary tumor tissues

Carbomer-based adjuvant elicits CD8 T-cell immunity by inducing a distinct metabolic state in cross-presenting dendritic cells

In vivo fluorescence lifetime imaging of macrophage intracellular metabolism during wound responses in zebrafish

3D convolutional neural networks predict cellular metabolic pathway use from fluorescence lifetime decay data

Label-free spatially maintained measurements of metabolic phenotypes in cells

Comparison of phasor analysis and biexponential decay curve fitting of autofluorescence lifetime imaging data for machine learning prediction of cellular phenotypes

Evaluation of Cellpose segmentation with sequential thresholding for instance segmentation of cytoplasms within autofluorescence images

Perfusability and immunogenicity of implantable pre-vascularized tissues recapitulating features of native capillary network

Quantitative optical imaging of primary tumor organoid metabolism predicts drug response in breast cancer

Optical Metabolic Imaging Identifies Glycolytic Levels, Subtypes, and Early-Treatment Response in Breast Cancer

Mutant KRAS Exosomes Alter the Metabolic State of Recipient Colonic Epithelial Cells

Identification of rare cell populations in autofluorescence lifetime image data

Extracellular pH affects the fluorescence lifetimes of metabolic co-factors

Fluorescence intensity and lifetime redox ratios detect metabolic perturbations in T cells

Functional Optical Imaging of Primary Human Tumor Organoids: Development of a Personalized Drug Screen

Optical metabolic imaging quantifies heterogeneous cell populations

Classification of T-cell activation via autofluorescence lifetime imaging

Classifying T cell activity in autofluorescence intensity images with convolutional neural networks

Decellularized organ biomatrices facilitate quantifiable in vitro 3D cancer metastasis models

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