Computational Imaging
Computational Imaging jointly designs optics and algorithms. This field of research is inherently interdisciplinary, combining expertise in imaging science, optical engineering, signal processing and machine learning. Computational imaging can overcome physical limitations and achieve novel capabilities, from advancing experimental observation techniques used in biology, to highly novel imaging system methods to atomic force microscopy. Computational Imaging serves a broad range of scientific, defense and security, biomedical, and neuroscience applications.
Cheng & Tian’s Newest Microscopy Advance Published by Nature Communications
Professor Ji-Xin Cheng’s research group has made notable strides in improved chemical imaging technologies, especially for medical purposes, over the last few years. Their latest, the development of a new type of mid-infrared photothermal (MIP) microscope, was published by Nature Communications in December. The paper, co-authored by collaborator and CISE affiliate Professor Lei Tian, Post-Doctoral Associate […]
Two BU Researchers Receive over $1 Million Each in Funding from the Chan Zuckerberg Initiative
Imagine being able to watch the smallest units of life—like cells and molecules—working together in real time. Seeing and measuring biological processes, a field called dynamic imaging, can help scientists unlock tremendous knowledge for treating diseases, from cancer to Alzheimer’s. In an effort to take biological imaging to the next level, two Boston University College […]
Powerful Updates to Novel Computational Imaging Device Featured in Optica
CISE affiliate Prof. Lei Tian (ECE, BME) and his team, led by PhD students, Yujia Xue (PhD, ECE, 2022) and Qianwan Yang (PhD student, ECE) published their paper “Deep-learning-augmented Computational Miniature Mesoscope” that describes advances to their Computational Miniature Mesoscope (CM2) project. This paper, published in the prestigious journal Optica, presents the CM2 V2, a […]
Professor Tian’s Paper on Adaptive 3D Descattering is the Cover Feature in Nature’s Light: Science & Applications
CISE faculty affiliate Lei Tian (ECE, BME) has published a paper entitled Adaptive 3D descattering with a dynamic synthesis network that was featured on the cover of Nature’s Light: Science & Applications. Tian’s paper focused on training a descattering network for image recovery in scattering media using an adaptive learning framework, termed dynamic synthesis network (DSN). The framework […]
Novel Miniature Computational Imaging System to Advance Brain Imaging Technology
The ability to study and learn about the brain hinges on what technology is available. CISE faculty affiliate, Lei Tian (ECE, BME) is leading the development of a novel miniature computational imaging system to advance brain imaging technology. Tian (ECE, BME), was awarded a $2 million grant from the National Institutes of Health to advance […]
Computational Miniature Mesoscope for Cortex-wide, Cellular resolution Ca2+ Imaging in Freely Behaving Mice
Scale is a fundamental obstacle in linking neural activity to behavior. While perception and cognition arise from interactions between diverse brain areas separated by long distances, neural codes and computations are implemented at the scale of individual neurons. An integrative understanding of brain dynamics thus requires cellular-resolution measurements across sensory, motor, and executive areas spanning […]
High-content High-speed Chemical Imaging of Metabolic Reprogramming by Integration of Advanced Instrumentation and Data Science
The goal of this project is to develop two complementary stimulated Raman scattering imaging platforms that will allow high-speed, high-content, and high-sensitivity mapping of cell metabolism by synergistic integration of advanced instrumentation and data science.
Joshua Rapp wins 2021 IEEE Signal Processing Society Best Ph.D. Dissertation Award
Boston University alumnus Joshua Rapp (Ph.D. ECE ’20) has won the 2021 IEEE Signal Processing Society Best Ph.D. Dissertation Award. Rapp, now a Research Scientist at Mitsubishi Electric Research Laboratories (MERL), was a student of CISE faculty affiliate Vivek Goyal, Professor and Associate Chair of Doctoral Programs (ECE) at Boston University. “I never imagined getting […]
Lighting the Way Forward for Autonomous Vehicles
CISE Faculty Affiliate Ajay Joshi with collaborators at Lightmatter and Harvard University receive $4.8M IARPA grant to develop a new Electro-Photonic Computing (EPiC) system for AI-based navigation in Autonomous Vehicles Anyone who has ever been behind the wheel of a car knows that response time is crucial. The human sensory system needs to be fully engaged in order […]
Machine learning reveals new factor for predicting a stroke survivor’s ability to regain language skills
Despite centuries of study, the human brain remains one of science’s greatest mysteries. Most research focuses on how the brain responds to change, but researchers are beginning to shift from studying the effect of the brain injury to recovery and healing. Neuroscientists and computer scientists at Boston University (BU) teamed up to create a method […]