Prof. Bell Receives JHU Discovery Award

Dr. Muyinatu Bell and gynecologic surgeon collaborator Dr. Karen Wang were among the 30 interdisciplinary faculty teams at Johns Hopkins selected to receive one of the 2018 JHU Discovery Awards. This award is designed to support cross-divisional research teams who are poised to arrive at important discoveries or creative works. The expectation is that these awards will spark new, synergistic interactions between investigators across the institution and lead to work of the highest quality and impact. This award will support their research topic of “Photoacoustic Image Guidance of Gynecological Surgeries.”

JHU Office of Research Announcement

JHU Hub Announcement

Malone Center Announcement

HEMI Announcement

Whiting School of Engineering Announcement

Prof. Bell featured in SPIE Women in Optics Planner

Prof. Bell is featured in the 2018 Women in Optics Planner produced by SPIE. This planner includes photos and interesting facts about highlighted women to introduce girls and young women to the possibilities of STEM careers. Five thousand copies of the planner are printed and distributed, free of charge, in more than 25 countries worldwide annually. SPIE Members, career counselors, science teachers, and community clubs can request free copies of this planner.

SPIE Newsroom Announcement

Prof. Bell’s Profile

Request a Copy


Prof. Bell Receives NSF CAREER Award

Congratulations to Prof. Bell for being selected to receive the NSF CAREER Award. The Faculty Early Career Development (CAREER) Program is a Foundation-wide activity that offers the National Science Foundation’s most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.  The objective of Prof. Bell’s proposal entitled CAREER: Technical & Theoretical Foundations for Photoacoustic-Guided Surgery is to apply optical analyses, spatial coherence theory, and independent resolution models to describe fundamental performance limits of photoacoustic-based navigation during robotic and nonrobotic surgery.

ECE Department Announcement

Malone Center Announcement

WSE Announcement

JHU Hub Announcement

LCSR Announcement

SLSC Beamforming Code Now Available on UltraSound Toolbox

The UltraSound Toolbox (USTB) is a free MATLAB toolbox for processing ultrasonic signals. The primary purpose of the USTB is to facilitate the comparison of imaging techniques and the dissemination of research results. The PULSE Lab is proud to collaborate on this effort to deliver SLSC beamforming to the broader ultrasound community. An example using the SLSC algorithm on a CIRS phantom and on human heart data was added today, as described here: The heart and phantom datasets and the SLSC code are now freely available to use. Additional datasets and beamforming code can be found by perusing the USTB website.

Congrats to Ole Marius Hoel Rindal (our visiting student from the University of Oslo) for putting in the work required to pull this together!

USTB Announcement

Margaret Allard Receives Best Presentation Award

Congratulations to PULSE Lab undergraduate student Margaret Allard who received the best presentation award from the NSF REU program in Computational Sensing and Medical Robotics. Her presentation was entitled Identifying Optimal da Vinci Tool Orientations for Photoacoustic Guided Hysterectomies. Prof. Jerry Prince presented Margaret with this award.

This award was shared by Margaret Allard and Mindy Wagenmaker.

JHU ECE Department Announcement

JBO Paper Accepted

Our paper entitled Photoacoustic-based approach to surgical guidance performed with and without a da Vinci robot was accepted for publication in the Journal of Biomedical Optics (JBO) Special Section on Translational Biophotonics.

Congrats to undergraduates Neeraj Gandhi and Margaret Allard!

This work was completed in partnership with the NSF REU in Computational Sensing and Medical Robotics along with collaborators Sungmin Kim and Peter Kazanzides, and it is the first to integrate photoacoustic imaging with the da Vinci surgical robot. It was also featured on the journal homepage.

ECE Department Announcement

BioOptics World Article

NIH R00 Grant Awarded

The PULSE Lab received the 2nd phase of Dr. Bell’s NIH K99/R00 award to support our project entitled “Coherence-Based Photoacoustic Image Guidance of Transsphenoidal Surgeries”. This work is motivated by the clinical challenges surrounding the removal of pituitary tumors using the minimally invasive endonasal transsphenoidal approach, which incurs the deadly risk of causing injury to the internal carotid arteries. We propose to eliminate this risk by developing a sophisticated photoacoustic imaging system that visualizes blood vessels located behind bone during the surgical operation. This photoacoustic imaging system will be equipped with our novel coherence-based beamformers and our specialized light delivery systems.

JHU ECE Announcement

Three Abstracts Accepted to SPIE Photonics West

Three abstracts from the PULSE Lab were accepted to SPIE Photonics West, which will take place January 28 – February 2, 2017 in San Francisco, California:

  • Paper 10064-18: A machine learning approach to identifying point source locations in photoacoustic data (29 January 2017 • 5:30 – 7:30 PM)
  • Paper 10064-101: Optimizing light delivery for a photoacoustic surgical system (29 January 2017 • 3:00 – 3:15 PM)
  • Paper 10064-125: Accuracy of a novel photoacoustic-based approach to surgical guidance performed with and without a da Vinci robot (29 January 2017 • 5:30 – 7:30 PM)

SPIE Newsroom Announcement

SPIE Press

Full Conference Program

NIH K99 Pathway to Independence Award

Dr. Muyinatu A. Lediju Bell received the NIH Pathway to Independence Award for her project entitled Coherence-Based Photoacoustic Image Guidance of Transsphenoidal Surgeries. This award promises support for 1-2 more years of postdoctoral training and the first 3 years of Dr. Bell’s independent faculty position.

JHU Whiting School of Engineering Announcement

JHU Laboratory for Computational Sensing and Robotics (LCSR) Announcement