Bio

Dr. Molleigh Preefer is an Associate Staff Scientist at the Stanford Synchrotron Radiation Lightsource (SSRL). She initially worked at SSRL as a postdoctoral researcher using X-rays to study batteries through a combination of microscopy, diffraction, and spectroscopy. Her current research focus as associate staff scientist is studying electrochemical systems and synthesis, with a particular interest in enabling operando X-ray experiments when materials are pushed far from equilibrium. In addition to her research interests, she supports the transmission X-ray microscopy beamline (BL6-2) and the battery user program on the diffraction beamlines within the Materials Sciences Division.

Education & Certifications

  • Ph.D., University of California, Santa Barbara, Materials Chemistry (2020)
  • B.A., Columbia University, Chemistry (2014)

Contact

  • Work
    molleigh@stanford.edu
    University - Staff Department: SLAC National Accelerator Laboratory Position: Associate Scientist
    • 2575 Sand Hill Rd
    • Mailstop 0026
    • Menlo Park,  California  94025 

Additional Info

All Publications

  • TomoPyUI: a user-friendly tool for rapid tomography alignment and reconstruction. Journal of synchrotron radiation Welborn, S. S., Preefer, M. B., Nelson Weker, J. 2024

    Abstract

    The management and processing of synchrotron and neutron computed tomography data can be a complex, labor-intensive and unstructured process. Users devote substantial time to both manually processing their data (i.e. organizing data/metadata, applying image filters etc.) and waiting for the computation of iterative alignment and reconstruction algorithms to finish. In this work, we present a solution to these problems: TomoPyUI, a user interface for the well known tomography data processing package TomoPy. This highly visual Python software package guides the user through the tomography processing pipeline from data import, preprocessing, alignment and finally to 3D volume reconstruction. The TomoPyUI systematic intermediate data and metadata storage system improves organization, and the inspection and manipulation tools (built within the application) help to avoid interrupted workflows. Notably, TomoPyUI operates entirely within a Jupyter environment. Herein, we provide a summary of these key features of TomoPyUI, along with an overview of the tomography processing pipeline, a discussion of the landscape of existing tomography processing software and the purpose of TomoPyUI, and a demonstration of its capabilities for real tomography data collected at SSRL beamline 6-2c.

    View details for DOI 10.1107/S1600577524003989

    View details for PubMedID 38920267

https://orcid.org/0000-0002-3699-8613