Publications
Early precursor-derived pituitary gland tissue-resident macrophages play a pivotal role in modulating hormonal balance
Cell Rep. 2025 Feb 25;44(2):115227. doi: 10.1016/j.celrep.2024.115227. Epub 2025 Jan 21.
The pituitary gland is the central endocrine regulatory organ producing and releasing hormones that coordinate major body functions. The physical location of the pituitary gland at the base of the brain, though outside the protective blood-brain barrier, leads to an unexplored special immune environment. Using single-cell transcriptomics, fate mapping, and imaging, we characterize pituitary-resident macrophages (pitMØs), revealing their heterogeneity and spatial specialization. Microglia-like...
Read MoreMicrofluidics-enabled core/shell nanostructure assembly: Understanding encapsulation processes via particle characterization and molecular dynamics
Adv Colloid Interface Sci. 2025 Apr;338:103400. doi: 10.1016/j.cis.2025.103400. Epub 2025 Jan 12.
In the realm of hybrid nanomaterials, the construction of core/shell nanoparticles offer an effective strategy for encompassing a particle by a polymeric or other suitable material, leading to a nanocomposite with distinct features within its structure. The polymer shell can be formed via nanoprecipitation, optimized by manipulating fluid flow, fluid mixing, modulating device features in microfluidics. In addition to the process optimization, success of polymer assembly in encapsulation strongly...
Read MoreThere Goes the Neighbourhood-A Multi-City Study Reveals Ticks and Tick-Borne Pathogens Commonly Occupy Urban Green Spaces
Zoonoses Public Health. 2025 May;72(3):313-323. doi: 10.1111/zph.13208. Epub 2025 Jan 16.
CONCLUSIONS: Ticks and TBPs are commonplace in urban green spaces in Finland. Enzootic cycles for Borrelia and Rickettsia appear to be well maintained within cities, leading to widespread risk of infection therein. Our results suggest that nymph densities are highest in urban forests of medium size, whereas small or large forests show reduced densities. Green spaces of roughly similar risk can be found in cities of different sizes, emphasising that the identification of areas of particularly...
Read MoreProteomic profiling reveals alterations in metabolic and cellular pathways in severe obesity and following metabolic bariatric surgery
Am J Physiol Endocrinol Metab. 2025 Mar 1;328(3):E311-E324. doi: 10.1152/ajpendo.00220.2024. Epub 2025 Jan 17.
In this study, we investigated the impact of bariatric surgery on the adipose proteome to better understand the metabolic and cellular mechanisms underlying weight loss following the procedure. A total of 46 patients with severe obesity were included, with samples collected both before and after bariatric surgery. In addition, 15 healthy individuals without obesity who did not undergo surgery served as controls and were studied once. We utilized quantitative liquid chromatography-tandem mass...
Read MoreEfficiently accelerated bioimage analysis with NanoPyx, a Liquid Engine-powered Python framework
Nat Methods. 2025 Feb;22(2):283-286. doi: 10.1038/s41592-024-02562-6. Epub 2025 Jan 2.
The expanding scale and complexity of microscopy image datasets require accelerated analytical workflows. NanoPyx meets this need through an adaptive framework enhanced for high-speed analysis. At the core of NanoPyx, the Liquid Engine dynamically generates optimized central processing unit and graphics processing unit code variations, learning and predicting the fastest based on input data and hardware. This data-driven optimization achieves considerably faster processing, becoming broadly...
Read MoreHarnessing artificial intelligence to reduce phototoxicity in live imaging
Fluorescence microscopy is essential for studying living cells, tissues and organisms. However, the fluorescent light that switches on fluorescent molecules also harms the samples, jeopardizing the validity of results - particularly in techniques such as super-resolution microscopy, which demands extended illumination. Artificial intelligence (AI)-enabled software capable of denoising, image restoration, temporal interpolation or cross-modal style transfer has great potential to rescue live imaging data and limit photodamage. Yet we believe the focus should be on maintaining light-induced damage at levels that preserve natural cell behaviour. In this Opinion piece, we argue that a shift in role for AIs is needed - AI should be used to extract rich insights from gentle imaging rather than recover compromised data from harsh illumination. Although AI can enhance imaging, our ultimate goal should be to uncover biological truths, not just retrieve data. It is essential to prioritize minimizing photodamage over merely pushing technical limits. Our approach is aimed towards gentle acquisition and observation of undisturbed living systems, aligning with the essence of live-cell fluorescence microscopy.
Fluorescence microscopy is essential for studying living cells, tissues and organisms. However, the fluorescent light that switches on fluorescent molecules also harms the samples, jeopardizing the validity of results - particularly in techniques such as super-resolution microscopy, which demands extended illumination. Artificial intelligence (AI)-enabled software capable of denoising, image restoration, temporal interpolation or cross-modal style transfer has great potential to rescue live...
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