Author

T. Tahara

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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Biophysics· 3 Biochemistry· 1

Signature Assays, Organisms & Methods

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Assay:fluorescence / live-cell microscopy· 3 Approach:Bayesian inference· 2 Research Focus:cell type annotation· 2 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:proteomics· 1

Frequent Co-Authors

K. Ishii· 4 shared I. Sgouralis· 3 shared S. Presse· 3 shared B. Sarkar· 2 shared W. Heo· 2 shared A. Dey· 1 shared A. K. Das· 1 shared A. Saurabh· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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4 shared papersBiophysics

K. Ishii

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Apolipoprotein-E transforms intracellular Amyloid-β oligomers to a more toxic state

A. Dey, A. Verma, U. Bhaskar, B. Sarkar, M. Kallianpur, V. Visvakarma, A. K. Das, K. Garai, O. Mukherjee, K. Ishii, T. Tahara, S. Maiti

The paper shows ApoE modifies Aβ oligomers to a more toxic form, detectable in live cells, and presents a potential assay for AD drug discovery.

bioRxiv · Sep 3, 2023 · PreprintBiochemistry

Single Photon smFRET. III. Application to Pulsed Illumination

M. Safar, A. Saurabh, B. Sarkar, M. Fazel, K. Ishii, T. Tahara, I. Sgouralis, S. Presse

This paper applies a Bayesian nonparametric framework to analyze single photon, single molecule FRET data under pulsed illumination, addressing uncertainties and noise sources in Holliday junction experiments.

bioRxiv · Jul 20, 2022Biophysics

Direct Photon-by-photon Analysis of Time-Resolved Pulsed Excitation Data using Bayesian Nonparametrics

M. Tavakoli, S. Jazani, I. Sgouralis, W. Heo, K. Ishii, T. Tahara, S. Presse

This paper introduces a Bayesian nonparametric method to directly infer the number of chemical species and their lifetimes from photon arrival data without pre-specifying the number of species.

Cell Reports Physical Science · Nov 1, 2020Peer-reviewedBiophysics

A Continuous Time Representation of smFRET for the Extraction of Rapid Kinetics

Z. Kilic, I. Sgouralis, W. Heo, K. Ishii, T. Tahara, S. Presse

This paper develops a continuous-time hidden Markov jump process to learn kinetic rates from smFRET data beyond acquisition rates, validated on simulated and experimental data.

bioRxiv · Aug 28, 2020 · PreprintBiophysics