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Alexandra J. Walsh, PhD

Adjunct Assistant Professor of Cardiovascular Sciences, Academic Institute
Assistant Affiliate Member, Research Institute
Houston Methodist


Publications

Perfusability and immunogenicity of implantable pre-vascularized tissues recapitulating features of native capillary network
Sharma, D, Sharma, A, Hu, L, Chen, TA, Voon, S, Bayless, KJ, Goldman, J, Walsh, AJ & Zhao, F 2023, , Bioactive Materials, vol. 30, pp. 184-199. https://doi.org/10.1016/j.bioactmat.2023.07.023

Label-free optical imaging of cell function and collagen structure for cell-based therapies
Hu, L, Morganti, S, Nguyen, U, Benavides, OR & Walsh, AJ 2023, , Current Opinion in Biomedical Engineering, vol. 25, 100433. https://doi.org/10.1016/j.cobme.2022.100433

Volumetric imaging of human mesenchymal stem cells (hMSCs) for non-destructive quantification of 3D cell culture growth
Benavides, OR, Gibbs, HC, White, BP, Kaunas, R, Gregory, CA, Walsh, AJ & Maitland, KC 2023, , PLoS ONE, vol. 18, no. 3, e0282298, pp. e0282298. https://doi.org/10.1371/journal.pone.0282298

POSEA: A novel algorithm to evaluate the performance of multi-object instance image segmentation
Wang, N, Hu, L & Walsh, AJ 2023, , PLoS ONE, vol. 18, no. 3, e0283692, pp. e0283692. https://doi.org/10.1371/journal.pone.0283692

Evolution of cisplatin resistance through coordinated metabolic reprogramming of the cellular reductive state
Yu, W, Chen, Y, Putluri, N, Osman, A, Coarfa, C, Putluri, V, Kamal, AHM, Asmussen, JK, Katsonis, P, Myers, JN, Lai, SY, Lu, W, Stephan, CC, Powell, RT, Johnson, FM, Skinner, HD, Kazi, J, Ahmed, KM, Hu, L, Threet, A, Meyer, MD, Bankson, JA, Wang, T, Davis, J, Parker, KR, Harris, MA, Baek, ML, Echeverria, GV, Qi, X, Wang, J, Frederick, AI, Walsh, AJ, Lichtarge, O, Frederick, MJ & Sandulache, VC 2023, , British Journal of Cancer, vol. 128, no. 11, pp. 2013-2024. https://doi.org/10.1038/s41416-023-02253-7

Osr1 Regulates Macrophage-mediated Liver Inflammation in Nonalcoholic Fatty Liver Disease Progression
Liu, L, Zhou, Y, Liu, Z, Li, J, Hu, L, He, L, Gao, G, Kidd, B, Walsh, A, Jiang, R, Wu, C, Zhang, K & Xie, L 2023, , CMGH, vol. 15, no. 5, pp. 1117-1133. https://doi.org/10.1016/j.jcmgh.2022.12.010

Identifying cancer cell metabolic states in autofluorescence lifetime images with machine learning
Hu, L & Walsh, AJ 2023, . in NT Shaked & O Hayden (eds), Label-free Biomedical Imaging and Sensing (LBIS) 2023., 1239104, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12391, SPIE, Label-free Biomedical Imaging and Sensing (LBIS) 2023, San Francisco, United States, 1/28/23. https://doi.org/10.1117/12.2648436

Label-free spatially maintained measurements of metabolic phenotypes in cells
Hu, L, Wang, N, Bryant, JD, Liu, L, Xie, L, West, AP & Walsh, AJ 2023, , Frontiers in Bioengineering and Biotechnology, vol. 11, 1293268. https://doi.org/10.3389/fbioe.2023.1293268

Comparison of phasor analysis and biexponential decay curve fitting of autofluorescence lifetime imaging data for machine learning prediction of cellular phenotypes
Hu, L, Ter Hofstede, B, Sharma, D, Zhao, F & Walsh, AJ 2023, , Frontiers in Bioinformatics, vol. 3, 1210157. https://doi.org/10.3389/fbinf.2023.1210157

Decellularized organ biomatrices facilitate quantifiable in vitro 3D cancer metastasis models
VandenHeuvel, SN, Farris, HA, Noltensmeyer, DA, Roy, S, Donehoo, DA, Kopetz, S, Haricharan, S, Walsh, AJ & Raghavan, S 2022, , Soft Matter, vol. 18, no. 31, pp. 5791-5806. https://doi.org/10.1039/d1sm01796a

Identification of rare cell populations in autofluorescence lifetime image data
Cardona, EN & Walsh, AJ 2022, , Cytometry Part A, vol. 101, no. 6, pp. 497-506. https://doi.org/10.1002/cyto.a.24534

In vivo fluorescence lifetime imaging of macrophage intracellular metabolism during wound responses in zebrafish
Miskolci, V, Tweed, KE, Lasarev, MR, Britt, EC, Walsh, AJ, Zimmerman, LJ, McDougal, CE, Cronan, MR, Fan, J, Sauer, JD, Skala, MC & Huttenlocher, A 2022, , eLife, vol. 11, e66080. https://doi.org/10.7554/ELIFE.66080

Modeling key metabolic pathways of cancer cells using label-free fluorescence lifetime imaging
Hu, L & Walsh, AJ 2022, . in NT Shaked & O Hayden (eds), Label-free Biomedical Imaging and Sensing (LBIS) 2022., 1197206, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11972, SPIE, Label-free Biomedical Imaging and Sensing (LBIS) 2022, Virtual, Online, 2/20/22. https://doi.org/10.1117/12.2608760

Autofluorescence imaging to evaluate cellular metabolism
Theodossiou, A, Hu, L, Wang, N, Nguyen, U & Walsh, AJ 2021, , Journal of Visualized Experiments, no. 177, e63282. https://doi.org/10.3791/63282

Extracellular pH affects the fluorescence lifetimes of metabolic co-factors
Schmitz, R, Tweed, K, Walsh, C, Walsh, AJ & Skala, MC 2021, , Journal of Biomedical Optics, vol. 26, no. 5, 056502. https://doi.org/10.1117/1.JBO.26.5.056502

Carbomer-based adjuvant elicits CD8 T-cell immunity by inducing a distinct metabolic state in cross-presenting dendritic cells
Lee, W, Kingstad-Bakke, B, Paulson, B, Larsen, A, Overmyer, K, Marinaik, CB, Dulli, K, Toy, R, Vogel, G, Mueller, KP, Tweed, K, Walsh, AJ, Russell, J, Saha, K, Reyes, L, Skala, MC, Sauer, JD, Shayakhmetov, DM, Coon, J, Roy, K & Suresh, M 2021, , PLoS pathogens, vol. 17, no. 1, e1009168, pp. e1009168. https://doi.org/10.1371/journal.ppat.1009168

Classification of T cell metabolism from autofluorescence imaging features
Hu, L, Wang, N & Walsh, AJ 2021, . in I Georgakoudi, A Tarnok & JF Leary (eds), Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIX., 1164707, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11647, SPIE, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIX 2021, Virtual, Online, United States, 3/6/21. https://doi.org/10.1117/12.2577004

Optical imaging of zebrafish xenograft tumors for a high throughput drugs screen
Nguyen, U, Webb, J, Schmitz, R, Tweed, K, Huttenlocher, A, Skala, MC & Walsh, AJ 2021, . in PJ Campagnola, KC Maitland & DM Roblyer (eds), Multiscale Imaging and Spectroscopy II., 116220E, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11622, SPIE, Multiscale Imaging and Spectroscopy II 2021, Virtual, Online, United States, 3/6/21. https://doi.org/10.1117/12.2577637

A modified watershed algorithm for automated segmentation of autofluorescence microscopy images
Wang, N, Hu, L, Webb, J & Walsh, AJ 2021, . in Bio-Optics: Design and Application, BODA 2021., JTu4A.22, Optics InfoBase Conference Papers, The Optical Society, Bio-Optics: Design and Application, BODA 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021, Virtual, Online, United States, 4/12/21.

Autofluorescence imaging is sensitive to CD4+ T cell subtypes and microenvironment
Tweed, K, Jones, I, Walsh, A & Skala, MC 2021, . in Bio-Optics: Design and Application, BODA 2021., DM3A.3, Optics InfoBase Conference Papers, The Optical Society, Bio-Optics: Design and Application, BODA 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021, Virtual, Online, United States, 4/12/21.

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