Author

M. J. Booth

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· 6 Cell Biology· 2 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 8 Assay:imaging· 6 Assay:fluorescence / live-cell microscopy· 3 Research Focus:software / tool· 3 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1

Frequent Co-Authors

I. M. Dobbie· 6 shared I. Davis· 5 shared M. A. Phillips· 4 shared R. M. Parton· 4 shared E. S. Allgeyer· 2 shared J. Antonello· 2 shared J. Bewersdorf· 2 shared J. Mateos-Langerak· 2 shared

Activity by Year

2019-2023 · peak 5/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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6 shared papersBiophysics

I. M. Dobbie

Mutual co-authors in cluster

Author profile →

9 papers

Recent·Most cited

Sculpting DNA-based synthetic cells through phase separation and phase-targeted activity

L. Malouf, D. A. Tanase, G. Fabrini, M. Paez-Perez, A. Leathers, M. J. Booth, L. Di Michele

This paper demonstrates the creation of synthetic cells using DNA nanostructures that form compartmentalized architectures with targeted activities through phase separation and chemical modifications.

bioRxiv · Mar 17, 2023Biophysics

Python-Microscope: A new open source Python library for the control of microscopes

D. M. M. S. Susano Pinto, M. A. Phillips, N. Hall, J. Mateos-Langerak, D. Stoychev, T. S. Pinto, M. J. Booth, I. Davis, I. M. Dobbie

Python-Microscope provides a scalable, open-source Python library for controlling complex custom microscopes and simulating microscope systems.

bioRxiv · Jan 18, 2021Biophysics

Microscope-Cockpit: Python-based bespoke microscopy for bio-medical science

M. A. Phillips, D. M. Susano Pinto, N. Hall, J. Mateos-Langerak, R. M. Parton, D. V. Stoychev, T. Park, T. S. Pinto, J. W. Sedat, M. J. Booth, I. Davis, I. M. Dobbie

The paper introduces Microscope-Cockpit, a Python-based GUI for controlling bespoke microscopes, enabling efficient specimen navigation and hardware integration through open-source tools.

bioRxiv · Jan 18, 2021Biophysics

3D Adaptive Optical Nanoscopy for Thick Specimen Imaging at sub-50 nm Resolution

X. Hao, E. S. Allgeyer, J. Antonello, K. Watters, J. A. Gerdes, L. K. Schroeder, F. Bottanelli, J. Zhao, P. Kidd, M. D. Lessard, J. E. Rothman, L. Cooley, T. Biederer, M. J. Booth, J. Bewersdorf

This paper develops a 3D adaptive optical nanoscopy technique that achieves sub-50 nm resolution in thick specimens by addressing optical aberrations.

bioRxiv · Nov 25, 2020Biophysics

Wavefront-sensorless adaptive optics with a laser-free spinning disk confocal microscope

S. A. Hussain, T. Kubo, N. J. Hall, D. Gala, K. Hampson, R. M. Parton, M. A. Phillips, M. Wincott, K. Fujita, I. Davis, I. M. Dobbie, M. J. Booth

The paper introduces wavefront-sensorless adaptive optics for a laser-free spinning disk confocal microscope, improving signal, contrast, and resolution by correcting specimen-induced aberrations.

bioRxiv · Jul 28, 2020Cell Biology

Microscope-AOtools: A generalised adaptive optics implementation

N. J. Hall, J. Titlow, M. J. Booth, I. M. Dobbie

Microscope-AOtools provides a generalised, easy-to-use software package for implementing adaptive optics in biological imaging to correct aberrations and improve image quality.

bioRxiv · Jun 18, 2020Biophysics

Democratising "Microscopi": a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork

M. B. Wincott, A. Jefferson, I. M. Dobbie, M. J. Booth, I. Davis, R. M. Parton

The paper describes a low-cost, 3D-printed automated fluorescence imaging system for teaching and outreach, demonstrating its multimodal imaging capabilities and open-source design.

bioRxiv · May 21, 2020Scientific Communication & Education

CryoSIM: super resolution 3D structured illumination cryogenic fluorescence microscopy for correlated ultra-structural imaging

M. A. Phillips, M. Harkiolaki, D. M. S. Pinto, R. M. Parton, A. Palanca, M. Garcia-Moreno, I. Kounatidis, J. Sedat, D. I. Stuart, A. Castello, M. J. Booth, I. Davis, I. M. Dobbie

The paper introduces cryoSIM, a super-resolution 3D fluorescence microscope for cryo-imaging that can be replicated with off-the-shelf components and open-source software.

bioRxiv · Mar 9, 2020Cell Biology

3D super-resolution deep-tissue imaging in living mice

M. G. M. Velasco, M. Zhang, J. Antonello, P. Yuan, E. S. Allgeyer, D. May, O. M'Saad, P. Kidd, A. E. S. Barentine, V. Greco, J. Grutzendler, M. J. Booth, J. Bewersdorf

This paper develops a STED system for 3D super-resolution imaging in living mice, achieving depths of 76 micrometers in brain tissue.

bioRxiv · Oct 2, 2019Biophysics