1.Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images. Karageorgos GM, Cho S, McDonough E, Chadwick C, et al. Front. Bioinform. (2024)

2.A single cell atlas of frozen shoulder capsule identifies features associated with inflammatory fibrosis resolution. Ng,M.T.H.,Borst, R.Gacaferi, H. et al. Nat Commun (2024).

3.3D reconstruction of skin and spatial mapping of immune cell density, vascular distance and effects of sun exposure and aging. Ghose, S., Ju, Y., McDonough, E. et al. Commun Biol (2023).

白激光：隨著生物研究對(duì)同時(shí)觀察多重事件的需求日增，傳統(tǒng)共聚焦顯微技術(shù)在多色標(biāo)記實(shí)驗(yàn)中面臨光譜重疊引起的限制。STELLARIS 白激光的高度可調(diào)性能夠精確匹配樣本染料的光譜特性，優(yōu)化了多色實(shí)驗(yàn)的清晰度與精確度，可以通過單次成像實(shí)現(xiàn)11色，并且沒有串色的干擾，突破傳統(tǒng)固定激光器在多色成像上的限制。

熒光壽命：傳統(tǒng)熒光成像受限于熒光類型和光譜范圍，而STELLARIS共聚焦平臺(tái)可升級(jí)熒光壽命技術(shù)，通過記錄分子在激發(fā)態(tài)停留的平均時(shí)間，來區(qū)分微環(huán)境中不同的組成部分。熒光壽命與熒光物質(zhì)的自身結(jié)構(gòu)和所處的微環(huán)境（如極性、粘度等）有關(guān)，而與激發(fā)光強(qiáng)度、熒光團(tuán)濃度等因素?zé)o關(guān)，是一種非常好的技術(shù)來探究腫瘤微環(huán)境中的pH值、離子濃度等。通過結(jié)合熒光壽命的維度，幫助科研工作者產(chǎn)生更多的新洞見。

1.LRRK2 is required for CD38-mediated NAADP-Ca(2+) signaling and the downstream activation of TFEB (transcription factor EB) inimmune cells. Nabar NR, Heijjer CN, Shi CS, Hwang IY, Ganesan S, Karlsson MCI, Kehrl JH. Autophagy. (2022)

2.Phosphatidic acid suppresses autophagy through competitive inhibition by binding GAPC (glyceraldehyde-3-phosphate dehydrogenase)and PGK (phosphoglycerate kinase) proteins. Guan B, Jiang YT, Lin DL, Lin WH, Xue HW. Autophagy. (2022)

3.Molecular sensors reveal the mechano-chemical response of Phytophthora infestans walls and membranes to mechanical andchemical stress. Michels L, Bronkhorst J, Kasteel M, de Jong D, Albada B, Ketelaar T, Govers F, Sprakel J. Cell Surf. (2022)

4.PICASSO allows ultra-multiplexed uorescence imaging of spatially overlapping proteins without reference spectra measurements.Seo, J., et al., Nat. Comm., (2022).

5.IBEX: A versatile multiplex optical imaging approach for deep phenotyping and spatial analysis of cells in complex tissues. Radtke, A.J. et al., PNAS. (2020).

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