Our team members attended the 2023 CCBIR Annual Investigators Meeting June 6-8!

Talks

Reto Fiolka - Multi-scale Imaging of Cancer Metastasis in Zebrafish Xenograft Models

Zach Marin - Imaging metastatic proliferation in situ

Felix Zhou - Towards complete quantitative subcellular mapping of single cells and molecular signals in 3D tissue microenvironments

Dagan Segal - In vivo 3D profiling of site-specific human cancer cell morphotypes in zebrafish

Md Torikul Islam - Determining melanoma cell fates in metastatic sites

Andrew Weems - Bleb Signaling in Cancer Cell Survival and Disease Progression

Posters

Hazel Borges - Optimize imaging of fluorescently labeled and chemical cleared tissues

Bo-Jui Chang - Light-sheet fluorescence microscope for cancer research

Md Torikul Islam - Determining melanoma cell fates in metastatic sites

Tada Isogai - Anchorage-independent cell proliferation mediated by F-actin bundling

Jinlong Lin - Nanoscale subcellular biology with Expansion Axially Swept Light-Sheet Microscopy
People’s Choice Award - Staff Scientist

Dagan Segal - Caveolin-1 organization and function drive functional plasticity in Ewing Sarcoma

Felix Zhou - Towards complete quantitative subcellular mapping of single cells and molecular signals in 3D tissue microenvironments

Conor McFadden - Towards high-throughput imaging of cancer metastatic niches in vivo

Stephan Daetwyler - Self-Driving, multi-scale microscopy capturing cancer cell dynamics with high resolution in vitro and in situ
People’s Choice Award - PostDoc

Kevin Dean - Imaging the Metastatic Cascade with Axially Swept Light-Sheet Microscopy

From the Sorger Lab at Harvard Medical School!

Unlike standard immunofluorescence, cyclic immunofluorescence can identify more than 60 proteins on the same sample. We are using cyclic immunofluorescence on patient tissues to understand how diseases such as cancer begin. In this video, we found tumor cells stained by MART1 (green) and alot of CD8-positive cytotoxic immune T cells (yellow) in a melanoma sample. However, the immune cells also stained with LAG3 (red dots) meaning that they are less effective at combating cancer. By combining cyclic immunofluorescence with 3D imaging, we aim to uncover additional features of cancer cells, such as their volume, shape, and location, that will follow the progression of disease more accurately.

From the Dean lab at UT Southwestern!

Depicted here is a 3D image of a lung where all of the nuclei have been segmented. This allows us to count every cell in the tissue, including those that are metastatic.