10 October 2025
Europe/Berlin timezone

X-Ray Fluorescence Microscopy based Cell Discrimination using Inorganic Nanoparticle Tag

10 Oct 2025, 13:00
30m

Speaker

Maya Luongo (Universität Hamburg)

Description

Cell cultures are a crucial tool in biological science. To accurately mimic complex human tissues, heterogeneous co-cultures consisting of different cell types are essential. However, traditional methods for identifying individual cells in these mixes lack spatial resolution, are destructive, or require thin slicing. Here, we show the use of inorganic nanoparticle tags for X-ray fluorescence imaging (XFI) as a powerful, non-destructive, and high-resolution approach to analysing cell distribution.
We screened 11 different nanoparticle syntheses to identify the 4 best candidates, based on gold (Au), iron (Fe), Nickel (Ni), and Bismuth (Bi) for high-contrast, spectrally unique XFI signals. Using these selected tags, we successfully labelled four different cancerous cell lines (HeLa, MCF7, A549, and 4T1) in a mixed cell culture. Using the hard X-ray microprobe at beamline P06 (PETRA III, DESY), we performed high-sensitivity XFI to achieve simultaneous identification and spatial mapping of all four cell types based on their individual NP signatures, confirming the method's precision and lack of spectral interference.
This work establishes a robust XFI framework for non-destructive, multiplexed cellular imaging, distinguished by its high sensitivity and spatial resolution, enabling precise, non-destructive, and multiplexed cellular mapping in 2D co-cultures. Furthermore, the innate deep-penetration capability of hard X-rays provides a direct and seamless pathway to apply this same methodology to complex 3D tissue models. This versatility unlocks new possibilities for studying cellular interactions in realistic tumour microenvironments and evaluating drug response.

Authors

Dr Marvin Skiba (Universität Hamburg) Wolfgang Parak (Uni Hamburg)

Co-authors

Dr Bo Peng (Universität Hamburg) Dr Chenxi Yang (Universität Hamburg) Jili Han (Universität Hamburg) Jinrui Li (Universität Hamburg) Dr Juan Jesus Barrio Capuchino (Universität Hamburg) Martin Sosniok (Universität Hamburg) Maya Luongo (Universität Hamburg) Dr Miao Feng (Universität Hamburg) Neus Feliu Torres (Universität Hamburg) Rebeka Reszegi (Universität Hamburg) Robbert Shütt (Universität Hamburg) Dr Ruixia Wang (Universität Hamburg) Shihao Zhou (Universität Hamburg) Wenbo Wang (Universität Hamburg) Yuxuan Han (Universität Hamburg)

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