Tay Shin

Tay Shin, while a graduate student in the Synthetic Neurobiology Group at MIT, developed new methods for visualizing brain circuitry through lipid staining and expansion microscopy imaging. While at UC Berkeley, he pursued various statistical modeling research projects, and after graduation, he spent two years working as a data scientist for South Korean government agencies, where he created an econometrics machine learning model that eventually saved the South Korean government 200 million dollars.

Publications

Dense, continuous membrane labeling and expansion microscopy visualization of ultrastructure in tissues

Nature Communications | 2025

Shin TW, Wang H*, Zhang C*, An B, Lu Y, Zhang E, Lu X, Karagiannis ED, Kang JS, Emenari A, Symvoulidis P, Asano S, Lin L, Costa EK; IMAXT Grand Challenge Consortium; Marblestone AH, Kasthuri N, Tsai LH, Boyden ES (2025) Dense, continuous membrane labeling and expansion microscopy visualization of ultrastructure in tissues, Nature Communications 16(1):1579. (*, contributed equally)

High-throughput expansion microscopy enables scalable super-resolution imaging

eLife | 2024

Day JH, Della Santina CM, Maretich P, Auld AL, Schnieder KK, Shin T, Boyden ES, Boyer LA (2024) High-throughput expansion microscopy enables scalable super-resolution imaging, Elife 13:RP96025.

Single-shot 20-fold expansion microscopy

Nature Methods | 2024

Wang S*, Shin TW*, Yoder HB 2nd, McMillan RB, Su H, Liu Y, Zhang C, Leung KS, Yin P, Kiessling LL**, Boyden ES** (2024) Single-shot 20-fold expansion microscopy, Nature Methods, doi:10.1038/s41592-024-02454-9. Online ahead of print. (*, equal contribution; **, co-corresponding authors)

A marmoset brain cell census reveals regional specialization of cellular identities

Science Advances | 2023

Krienen FM, Levandowski KM, Zaniewski H, Del Rosario RCH, Schroeder ME, Goldman M, Wienisch M, Lutservitz A, Beja-Glasser VF, Chen C, Zhang Q, Chan KY, Li KX, Sharma J, McCormack D, Shin TW, Harrahill A, Nyase E, Mudhar G, Mauermann A, Wysoker A, Nemesh J, Kashin S, Vergara J, Chelini G, Dimidschstein J, Berretta S, Deverman BE, Boyden E, McCarroll SA, Feng G (2023) A marmoset brain cell census reveals regional specialization of cellular identities, Science Advances 9(41):eadk3986.

Expansion microscopy using a single anchor molecule for high-yield multiplexed imaging of proteins and RNAs

PLoS One | 2023

Cui Y*, Yang G*, Goodwin DR, O'Flanagan CH, Sinha A, Zhang C, Kitko KE, Shin TW, Park D, Aparicio S; CRUK IMAXT Grand Challenge Consortium; Boyden ES (2023) Expansion microscopy using a single anchor molecule for high-yield multiplexed imaging of proteins and RNAs, PLoS One 18(9):e0291506. (*, contributed equally)

Dynamic Changes in Heparan Sulfate Nanostructure in Human Pluripotent Stem Cell Differentiation

ACS Nano | 2023

Al Mahbuba D, Masuko S, Wang S, Syangtan D, Kang JS, Song Y, Shin TW, Xia K, Zhang F, Linhardt RJ, Boyden ES, Kiessling LL (2023) Dynamic Changes in Heparan Sulfate Nanostructure in Human Pluripotent Stem Cell Differentiation, ACS Nano 17(8):7207-7218.

Expansion Microscopy of Lipid Membranes

bioRxiv | 2019

Emmanouil D. Karagiannis*, Jeong Seuk Kang*, Tay Won Shin, Amauche Emenari, Shoh Asano, Leanne Lin, Emma K. Costa, IMAXT Grand Challenge Consortium, Adam H. Marblestone, Narayanan Kasthuri, Edward S. Boyden (2019) Expansion Microscopy of Lipid Membranes, bioRxiv 829903. (*, equal contribution)