Skip to main content

Search

Show all results for

Home

Person

Yen-Cheng Liu

About
Privacy
Disclaimer

Copyright © 2025 EPFL, all rights reserved

Graph Chatbot

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related units (1)

Bionanophotonic Systems Laboratory

EPFL
STI
IBI-STI
BIOS

Related publications (16)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Spatiotemporal Interrogation of Single Spheroids Using Multiplexed Nanoplasmonic-fluorescence Imaging

Hatice Altug, Matthias Lütolf, Yen-Cheng Liu, Saeid Ansaryan, Luis Francisco Lorenzo Martin

Advances in organoid models, as ex vivo mini-organs, and the development of screening imaging technologies have continuously driven each other forward. A complete understanding of organoids requires detailed insights into the intertwined intraorganoid and ...

WILEY-V C H VERLAG GMBH2025

Multimodal Nanoplasmonic and Fluorescence Imaging for Simultaneous Monitoring of Single-Cell Secretory and Intracellular Dynamics

Hatice Altug, Yen-Cheng Liu, Saeid Ansaryan

Current imaging technologies are limited in their capability to simultaneously capture intracellular and extracellular dynamics in a spatially and temporally resolved manner. This study presents a multimodal imaging system that integrates nanoplasmonic sen ...

WILEY2025

Nanoplasmonic Single-Tumoroid Microarray for Real-Time Secretion Analysis

Hatice Altug, Nicolas Antoine Vincent Broguiere, Yen-Cheng Liu, Saeid Ansaryan, Luis Francisco Lorenzo Martin

Organoid tumor models have emerged as a powerful tool in the fields of biology and medicine as such 3D structures grown from tumor cells recapitulate better tumor characteristics, making these tumoroids unique for personalized cancer research. Assessment o ...

2024