Our paper “Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems” is accepted to #NeurIPS2025 📄 https://t.co/iMfqbvpXsI 👏 Led by PhD alum @alido_jeffrey, who initiated and drove this idea forward.

I’m humbled and honored to be named BU’s 2025 Provost’s Scholar-Teacher of the Year.

Jiabei’s thesis advances intensity diffraction tomography by developing multiple scattering models and both transmission- and reflection-mode instrumentation, with potential impact in both bioimaging and metrology applications.

Chang’s thesis advances multiple generations of self-supervised denoising methods to enable high-fidelity, high-resolution in vivo voltage imaging. I look forward to seeing these techniques translated into real-world neuroscience applications through our ongoing collaborations.

A busy and fulfilling April - proud to celebrate the 8th and 9th Ph.D. graduates of the Tian Lab: Dr. Chang Liu and Dr. Jiabei Zhu!

Tongyu's work on Reflection-mode diffraction tomography of multiple-scattering samples on a reflective substrate from intensity images - a new technique that enables simultaneous recovery of forward- and back-scatter information. https://t.co/saDfyeSebb

In addition to our keynotes, we have an EXCITING lineup of invited talks featuring top experts in the computational imaging world!

Excited to share our multi-team effort, with collaborators in @BU_NPC, @bu_cte, and @MGHMartinos, on enhanced multiscale human brain imaging using semi-supervised digital staining and serial-sectioning optical coherence tomography, is finally out! https://t.co/C5cnxGNSgN

Computational imaging pioneer Professor @LeiTian14 and ultrafast optics trailblazer Professor Michelle Sander have both been elected to @OpticaWorldwide's 2025 class of Fellows: https://t.co/Zj42lwzKlt

congratulations @CislMatlock!

Tongyu's work on reflection-mode intensity diffraction tomography for imaging scattering samples on a reflective substrate, with a modified Born series model incorporating Bloch and PEC boundary conditions, and adjoint method for solving inverse problem. https://t.co/eKGlqUBi0O

Chang's work on self-supervised denoising with decoupled spatiotemporal enhancement for low-photon voltage imaging. https://t.co/BZV1fTocNo

Hao’s work "NeuPh: a scalable, robust, and generalizable neural phase retrieval method". By integrating a coordinate-based training strategy, NeuPh enables continuous-domain, resolution-enhanced phase reconstruction with improved scalability and accuracy. https://t.co/gcAPQ6Kk8Q

Congratulations to Guorong for having his work featured on the cover of Biomedical Optics Express!

Happy to share Ruipeng's work on event-camera based ultrafast 3D microscopy, published in @LightSciAppl. @BU_ece @BUCollegeofENG @CISE_BU https://t.co/Dyohjr8lEN

@OpticaWorldwide @BU_ece @BUCollegeofENG @CISE_BU This work represents significant progress towards developing a miniaturized imaging device, capable of achieving cm-scale FOV and cellular resolution, while also enabling dynamic imaging and data processing. Funded by @NINDSfunding and @czi @cziscience.

Qianwan's work introduces SV-FourierNet to address extensive view multiplexing and non-local, shift-variant aberrations. @OpticaWorldwide @BU_ece @BUCollegeofENG @CISE_BU https://t.co/vFDW5WzoFN

Guorong’s paper on using caustic patterns for HiLo-based optical sectioning SIM. Caustic patterns show an improvement in optical sectioning compared to speckles, attributed to their unique intensity statistics. #OSA_BOEx https://t.co/XMOZAajr0P

Help us spread the words about Photonics Undergraduate Research Summer Experience (PURSuE) program at Boston University -- a 10-week REU program (6/2/24 – 8/10/24) for students who are interested in pursuing doctoral research related to photonics.

@LeiTian14's Computational Imaging Systems group has been leading the charge in calculating new ways to see molecules, cells, and life in action, as featured in Katherine J. McAlpine's latest article for the Photonics Center! Check out the article here: https://t.co/0d7QwMJZ4G