Biosketch & Curriculum Vitae

Peter R. Mouton, Ph.D.,
eRA Commons User Name: MOUTONPI

CEO & Chief Scientific Officer
SRC Biosciences (Stereology Resource Center, Inc.)
Tampa, FL

Peter@disector.com

Professor of Stereology & Computer Sciences
College of Engineering, University of South Florida
Tampa, FL

petermouton@usf.edu

Educational Institution & Location

Professional Training

Dr. Mouton’s professional training includes a Ph.D. in Neuroscience from the University of South Florida (USF, Tampa, FL); one-year fellowship in neurobiology at the Karolinska Institute (Stockholm, Sweden) with Prof. dr. Lars Olson; two-year postdoctoral fellowship in Denmark with Professor Hans J.G. Gundersen; and a two-year NIH fellowship in Neuropathology with Professor Donald L. Price, M.D. at the Pathology Department at the Johns Hopkins University School of Medicine (Baltimore MD). He subsequently served on faculty at the Hopkins Pathology Department for six years before establishing the Neurostereology of Brain Aging group at the Hopkins Bayview/National Institute on Aging campus in Baltimore. 

Contributions to Science

Through over two decades of leadership of SRC Biosciences and the Stereology Resource Center, Dr. Mouton has provided technology and research support to a generation of bioscientists in academia, government agencies and private industries. In 2010 he returned to Tampa where he continues to lead SRC Biosciences and serve on faculty as Professor of Stereology in the Department of Computer Sciences and Engineering at the University of South Florida.

Current Positions

Past Positions

Grant Awards & Contracts

SRC Biosciences.  Our mission is to promote health and well-being through products, services, and research grants focused on understanding the biological basis for human aging and disease; and developing novel strategies for enhancing the therapeutic management of afflicted patients. 

Florida High Technology Corridor Foundation

Award Title:  Deep Learning-based Classification of Immunofluorescent-labeled Microglia in a Mouse Model of AD

Project Role: Co-PI (with Profs Dmitry Goldgof, Lawrence Hall), Dept of Computer Science & Engineering, USF, Tampa, FL

Award Type:  Florida High Tech Corridor Technology Grant

Project Goal: Develop DL approach for quantifying microglia triggers for deposition of AD-type neuropathology in mouse AD model. 

 

National Institute of Child Health & Human Development (NICHD/NIH) & National Institute for Nursing Research (NINR)

Project Title: AI-based Multimodal Approach to Predict Pain in Postnatal Care Scenarios

Award Type:  Phase 1 Small Business Technology Transfer (STTR) 

Project Role: Principal Investigator (PI), Yu Sun (co-PI)

Project Goal: Demonstrate the proof of concept for machine learning-based pain prediction in post-surgical neonates.  

 

Florida High Technology Corridor Grant

Award Title:  Explainable AI for Early Pain Detection in NICU 

Project Role:Co-PI (with Profs Yu Sun, Dmitry Goldgof), Dept of Computer Science & Engineering, USF, Tampa, FL

Award Type: State of Florida High Tech Corridor Technology Grant

Project Goal:Provide Explainable AI for converting multimodal sensory data into reliable predictions of time to pain onset in post-surgical neonates. 


National Science Foundation (NSF)

Project Title: Microscope-based Technology For Automatic Cell Analysis Using Unbiased Methods.
Project Role: Peter R. Mouton, Principal Investigator
Award Type: STTR Phase II Award: NSF #1926990
Project Goal: Develop and validate deep learning neural networks for automatic stereology of biological structure on stained tissue sections

Project Title: Treating with Gamma-Secretase Modulators to Prevent
Project Role: Peter R. Mouton, Principal Investigator, Neuropathology Subaward
Award Type: R01 National Institute on Aging (Mobley, William, PI, 1R01AG055523-01A1).
Project Aim: 1. Unbiased stereology to assess the neuropathology in animal models of Down’s syndrome and Alzheimer’s disease. 2. Examine the effects of gamma secretase modulator treatment before and after onset of neurodegeneration.

National Institute on Aging (NIH)

Project Title: An AI-based Multimodal Approach to Predict Pain in Postnatal Care Scenarios.
Project Role: Principal Investigator (PI) 
Award Type: National Institute on Child Health and Human Development
Project Goal: A novel AI-based early pain detection (EPD) system for postoperative pain avoidance and opioid sparing in NICU.

Florida High Tech Corridor Grant Program

Project Title: Applications of Deep Learning and Automatic Stereology to Assess Treatments for Alzheimer’s Disease.
Project Role: Co-PIs (Mouton/Goldgof))
Project Goal: Apply artificial intelligence to stereology analysis of Alzheimer’s disease neuropathology.

U.S. Department of State

Project Title: Fulbright U.S. Scholar Award
Project Role: Principal Investigator
Project Goal: Provide the international bioscience community with professional stereology support through on-site training, collaboration and consultation.

National Science Foundation (NSF)

Project Title: Support for Fall 2019 NSF I-Corps Workshop (USF, Tampa, FL).
Project Role: Principal Investigator
Project Goal: Workshop on team-based customer discovery to commercialize biotechnology for the global bioscience community.

Selected Publications (> 120 Total)

Peer-Reviewed Journals

Peer-Reviewed Books & Book Chapters

Invited Peer-Reviewed Conference Papers

Dave P, Goldgof D, Hall LO, Kolinko Y, Allen K, Alahmari S, Mouton PR. A disector-based framework for the automatic optical fractionator. J Chem Neuroanat. Jul 12:102134, 2022

Courchesne, E., Mouton, P.R., Calhoun, M.E., et al. Neuron Number And Size In Prefrontal Cortex Of Children With Autism. JAMA, 306 (18):2001-10, November 9, 2011..

Morera, H., Dave, P., Goldgof, D., Hall, L. O., Kolinko, Y., Allen, K., Alahmari, S., Albay, R., Becker, A., Mobley, W. C., Mouton, P.R.. Classification of Global Microglia Proliferation Based on Deep Learning with Local Images. SPIE Medical Image Processing, 12032-89, April 4, 2022. 

Harry, G.J., Hooth, M.J., Vallant, M., Behl, M., Travlos, G.S., Howard, J.L., Price, C.J., McBride, S., Mervis, R., Mouton, P. R. Neurodevelopmental Effects Of Gestational And Perinatal Thyroid Disruption In Rats. Toxics, 2, 496-532, 2014.

Stoner, R., Chow, M.L., Boyle, M.P., Sunkin, S.M., Mouton, P.R., et al. Discrete Patches of Laminar Disorganization in Young Autistic Neocortex, New England Journal of Medicine, March 17, 2014.

Salekin, M.S., Mouton, P.R., et al.,. Future Roles of Artificial Intelligence in Early Pain Management of Newborns. Pediatric & Neonatal Pain, 1–12, August 5, 2021.

Long JM, Kalehua AN, Muth NJ, Calhoun ME, Jucker M, Hengemihle JM, Ingram DK, Mouton PR. Stereological Analysis Of Astrocyte And Microglia In Aging Mouse Hippocampus. Neurobiol Aging 19:497-503, 1999.

Mouton, P.R. Applications Of Unbiased Stereology To Neurodevelopmental Toxicology, In: Developmental Neurotoxicology Research: Principles, Models, Techniques, Strategies And Mechanisms (C. Wang And W. Slikke, Eds), John Wiley & Sons, Hoboken, pg. 53-77, 2011.

Mouton PR, Martin LJ, Calhoun ME, Dal Forno G, Troncoso JC, Price DL. Cognitive Decline Strongly Correlates With Cortical Atrophy In Alzheimer’s Dementia. Neurobiol Aging 19: 371-377, 1998.

Alahmari, S., Goldgof, D., Hall, D. Phoulady, H.A. Patel, R., Mouton, P.R. Automated Counts of Stained Cells by Deep Learning and Unbiased Stereology. J. Chem Neuroant, 96:94-101, 2019.

Mouton, P.R., et al. Effects Of Age And LPS- Mediated Inflammation On Central Catecholaminergic Neuron Number In B6 Mice. Neurobiol Aging, 423:27-36, 2012.

Manaye, K.F., Mouton, P.R., et al., Age-Related Loss Of Noradrenergic Neurons In The Brains Of Triple Transgenic Mice. Age 35: 139-147, 2013.

Long JM, Mouton PR, Jucker M, Ingram DK. What Counts In Brain Aging? Design-Based Stereological Analysis Of Cell Number. J Gerontology 54A: B407-B417, 1999.

Sze C, Troncoso JT, Kawas CH, Mouton PR, Price DL, Martin LJ. Loss Of The Presynaptic Vesicle Protein Synaptophysin In Hippocampus Correlates With Early Cognitive Decline In Aged Humans. J Neuropath Exp Neurol 56: 933-944, 1997.

 

Mouton, P.R. Neurostereology, Wiley Blackwell Press, Boston, 280 pages, November 2013.

Mouton, P.R. Principles & Practices of Unbiased Stereology: An Introduction For Bioscientists. Johns Hopkins University Press, Baltimore MD., 2002.

Mouton, P.R. A Concise Guide to Unbiased Stereology,” Johns Hopkins University Press,  Baltimore MD., 2011.

Mouton, P.R. Gordon, M. Stereological And Image Analysis Techniques For Quantitative Assessment Of Neurotoxicology. In: Neurotoxicology, 3rd Edition, Target Organ Toxicology Series, G. Jean Harry, Hugh A. Tilson, (Eds), Taylor & Francis Press, London & New York, pp. 243-267, March 2010.

Phoulady, H.A., Zhou, M., Goldgof, D., Hall, L., Mouton, P.R. Automatic quantification and classification of cervical cancer via adaptive nucleus shape modeling, In IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, 2016. 

Mouton, P.R. Applications Of Unbiased Stereology To Neurodevelopmental Toxicology, In: Developmental Neurotoxicology Research: Principles, Models, Techniques, Strategies And Mechanisms (C. Wang And W. Slikke, Eds), John Wiley & Sons, Hoboken, pg. 53-77, 2011.

Sisodia, S., Thinakaren, G., Van Koch, C., Slunt, H., Roskams, J., Kitt, C.A., Masliah, E., Koliatosos, V., Mouton, P.R. Martin., L.J., Reed, R., Ronnett, G.V., Zheng, H., Van Der Ploeg, L., Price, D.L. In-vivo biology of APP and its homologues. In: Neurodegenerative Diseases: Molecular And Cellular Mechanisms And Therapeutic Approaches. (Gary Fiskum, Ed.), Plenum, New York. 485 Pp, 1996.

Mouton, P.R. Quantitative Anatomy Using Unbiased Stereology. In: CRC Handbook of Imaging in Biological Mechanics (Corey P. Neu and Guy M. Genin, eds), CRC Press, London, October, 2014.

Alahmari, S. S, Goldgof, D., Hall, L., Mouton, P.R., A Review of Nuclei Detection and Segmentation on Microscopy Images using Deep Learning With Applications to Unbiased Stereology Counting. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) in press.

Salekin, M.S., Zamzmi, G., Goldgof, D., Mouton, P.R., Ashmeade, T., Prescott, E., Huang, Y., Sun, Y. Attentional generative multimodal network for neonatal postoperative pain estimation, Medical Image Computing and Computer Assisted Intervention (MICCAI) 13433: 749–759, Springer Nature (Switzerland), 2022.

Phoulady, H. A., Mouton, P.R. New cervical cytology dataset for nucleus detection and image classification (Cervix93) and methods for cervical nucleus detection. IEEE International Symposium on Biomedical Imaging, arXiv:1811.09651, November 23, 2018.

Alahmari, S., Goldgof, D., Mouton, P.R., Hall, L. Challenges for the Reproducibility of Deep Learning Models. IEEE Access, 8: 11860 – 211868, November 2020.  

Alahmari, S., Hall, L.O., Goldgof, D., Mouton, P.R. Automatic Cell Counting using Active Deep Learning and Unbiased Stereology, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Bari, Italy, 2019. 

Phoulady, H.A., Zhou, M., Goldgof, D., Hall, L., Mouton, P.R. Automatic quantification and classification of cervical cancer via adaptive nucleus shape modeling, In IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, 2016. 

Phoulady, H.A., Goldgof, D.B., Hall, L.O., Mouton, P.R. Histopathology image segmentation with hierarchical multilevel thresholding, In Proceedings of the SPIE Medical Imaging on Digital Pathology, San Diego, CA, 2016.

 

Selected Awards, Honors, Patents (since 1997)

Intellectual Property