Author

J. W. Trobaugh

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

J. P. Culver· 3 shared A. M. Svoboda· 2 shared A. T. Eggebrecht· 2 shared E. J. Richter· 2 shared E. M. Mugler· 2 shared K. Tripathy· 2 shared M. A. Chevillet· 2 shared M. L. Schroeder· 2 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioengineering

J. P. Culver

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Author profile →

3 papers

Recent·Most cited

Identifying Naturalistic Movies from Human Brain Activity with High-Density Diffuse Optical Tomography

Z. E. Markow, K. Tripathy, A. M. Svoboda, M. L. Schroeder, S. M. Rafferty, E. J. Richter, A. T. Eggebrecht, M. A. Anastasio, M. A. Chevillet, E. M. Mugler, S. N. Naufel, A. Yin, J. W. Trobaugh, J. P. Culver

This study uses HD-DOT to decode naturalistic movie content from brain activity with accuracy above chance, demonstrating its potential for non-invasive, real-world applications.

bioRxiv · Nov 27, 2023 · PreprintBioengineering

Ultra-high density imaging arrays for diffuse optical tomography of human brain improve resolution, signal-to-noise, and information decoding

Z. E. Markow, J. W. Trobaugh, E. J. Richter, K. Tripathy, S. M. Rafferty, A. M. Svoboda, M. L. Schroeder, T. M. Burns-Yocum, K. M. Bergonzi, M. A. Chevillet, E. M. Mugler, A. T. Eggebrecht, J. P. Culver

This study develops an ultra-high-density diffuse optical tomography system with improved resolution, signal-to-noise ratio, and decoding accuracy for human brain imaging.

bioRxiv · Jul 21, 2023 · PreprintBioengineering

Multi-Mode Fiber-Based Speckle Contrast Optical Spectroscopy: Analysis of Speckle Statistics

C.-H. P. Lin, I. Orukari, C. Tracy, L. K. Frisk, M. Verma, S. Chetia, T. Durduran, J. W. Trobaugh, J. P. Culver

This paper evaluates the use of multi-mode fiber bundles in speckle contrast optical spectroscopy to improve imaging of cerebral blood flow while distinguishing flow-based speckle from static speckle and noise.

bioRxiv · Oct 25, 2022Bioengineering