Year
Month
(Peer-Reviewed) 3D imaging lipidometry in single cell by in-flow holographic tomography
Daniele Pirone ¹ ², Daniele Sirico ¹ ³, Lisa Miccio ¹, Vittorio Bianco ¹, Martina Mugnano ¹, Danila del Giudice ¹ ⁴, Gianandrea Pasquinelli ⁵ ⁶, Sabrina Valente ⁵, Silvia Lemma ⁷ ⁸ ⁹, Luisa Iommarini ⁹ ¹⁰, Ivana Kurelac ⁷ ⁸ ⁹, Pasquale Memmolo ¹, Pietro Ferraro ¹
¹ CNR-ISASI, Institute of Applied Sciences and Intelligent Systems “E. Caianiello”, Via Campi Flegrei 34, Pozzuoli, Napoli 80078, Italy
² Department of Electrical Engineering and Information Technologies, University of Naples “Federico II”, via Claudio 21, Napoli 80125, Italy
³ Department of Chemical, Materials and Production Engineering of the University of Naples Federico II, Piazzale Tecchio 80, Napoli 80125, Italy
⁴ Department of Mathematics and Physics, University of Campania “Luigi Vanvitelli”, Caserta 81100, Italy
⁵ Biotechnology and Methods in Laboratory Medicine, Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna 40126, Italy
⁶ Subcellular Nephro-Vascular Diagnostic Program, Pathology Unit S.Orsola IRCCS, University of Bologna, Bologna 40126, Italy
⁷ Unit of Medical Genetics, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Massarenti 9, Bologna 40138, Italy
⁸ Study and Research Center on Gynecological Neoplasias, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Via Massarenti 9, Bologna 40138, Italy
⁹ Center for Applied Biomedical Research (CRBA), University of Bologna, Bologna 40138, Italy
¹⁰ Department of Pharmacy and Biotechnology (FABIT), University of Bologna, Bologna 40126, Italy
Opto-Electronic Advances, 2022-08-25
Abstract

The most recent discoveries in the biochemical field are highlighting the increasingly important role of lipid droplets (LDs) in several regulatory mechanisms in living cells. LDs are dynamic organelles and therefore their complete characterization in terms of number, size, spatial positioning and relative distribution in the cell volume can shed light on the roles played by LDs.

Until now, fluorescence microscopy and transmission electron microscopy are assessed as the gold standard methods for identifying LDs due to their high sensitivity and specificity. However, such methods generally only provide 2D assays and partial measurements. Furthermore, both can be destructive and with low productivity, thus limiting analysis of large cell numbers in a sample.

Here we demonstrate for the first time the capability of 3D visualization and the full LD characterization in high-throughput with a tomographic phase-contrast flow-cytometer, by using ovarian cancer cells and monocyte cell lines as models. A strategy for retrieving significant parameters on spatial correlations and LD 3D positioning inside each cell volume is reported.

The information gathered by this new method could allow more in depth understanding and lead to new discoveries on how LDs are correlated to cellular functions.
3D imaging lipidometry in single cell by in-flow holographic tomography_1
3D imaging lipidometry in single cell by in-flow holographic tomography_2
3D imaging lipidometry in single cell by in-flow holographic tomography_3
3D imaging lipidometry in single cell by in-flow holographic tomography_4
  • Halide perovskite-based metasurfaces: structure design, performance regulation, and optoelectronic applications
  • Junxue Liu, Ying Su, Zibo Gao, Yinghan Li, Jingyuan Jia, Dequn Zhang, Yijing Mao, Tun Cao
  • Opto-Electronic Manufacturing
  • 2026-09-25
  • Electrically switchable bright-field and interference-synthesized edge-enhanced imaging with a polarization-multiplexed metalens
  • Xiaotong Li, Junhwa Seong, Yeseul Kim, Kwang-Suk Oh, Shiqi Hu, Le Dai, Harit Keawmuang, Beomha Yang, Minseok Choi, Youngsun Jeon, Cherry Park, Weiyan Li, Tianxu Jia, Han Zhu, Xiaodong Cai, Qi Zheng, Jinhui Shi, Young-Ki Kim, Yuchuan Shao, Trevon Badloe, Junsuk Rho
  • Opto-Electronic Science
  • 2026-09-20
  • Multiphysics optimization framework for high-power fiber amplifiers
  • Wei Liu, Zan Cheng, Pengfei Ma, Yisha Chen, Huan Yang, Zhiyong Pan, Zefeng Wang, Jinbao Chen
  • Opto-Electronic Science
  • 2026-09-20
  • 3D-printed copper water cooling system assisted fabrication of 10.6-μm high-power CO₂ laser resistance reflectors
  • Hongfei Jiao, Binbin Jiang, Xinshang Niu, Yifan Wang, Dongdong Li, Jun Yu, Xiaochuan Ji, Jingjing Xia, Jinlong Zhang, Xinbin Cheng, Zhanshan Wang
  • Opto-Electronic Advances
  • 2026-09-15
  • Pixel-controlled programmable metasurface as phase-type spatial terahertz modulator
  • Guibin Li, Guanyi Li, Zehao He, Xinke Wang, Peter J. Klar, He Ma, Yan Zhang
  • Opto-Electronic Advances
  • 2026-09-15
  • Spatiotemporal beam stirring in a multicore fiber
  • Alena Y. Kolesnikova, Mikhail D. Gervaziev, Nikita V. Bochkarev, Denis S. Kharenko, Evgeniy V. Podivilov, Sergey A. Babin
  • Opto-Electronic Advances
  • 2026-09-15
  • Ultrafast all-optical modulation of wide-bandwidth pulses enabled by silicon-metasurfaces
  • Kaloyan Georgiev, Khosro Zangeneh Kamali, Anton A. Trifonov, Giulia Crotti, Lyuben Petrov, Stefan Georgiev, Hristo Iliev, Lei Xu, Unai Arregui Leon, Mohsen Rahmani, Giuseppe Della Valle, Ivan Buchvarov, Dragomir Neshev
  • Opto-Electronic Advances
  • 2026-09-15
  • Physics-informed neural fields enable blind aberration correction for partially coherent quantitative phase imaging
  • Shun Zhou, Xingyu Huang, Linpeng Lu, Habib Ullah, Kaiyu Du, Maciej Trusiak, Malgorzata Kujawinska, Yuzhen Zhang, Yao Fan, Qian Chen, Qinrong Zhang, Chao Zuo
  • Opto-Electronic Science
  • 2026-08-26
  • Programmable directional photonic spiking neuron based on a non-Hermitian silicon microresonator
  • Stefano Biasi, Bülent Aslan, Stefano Gretter, Davide Olivieri, Alessandro Foradori, Riccardo Franchi, Lorenzo Pavesi
  • Opto-Electronic Science
  • 2026-08-26
  • Mutual empowerment of artificial intelligence and metasurfaces: intelligent nanophotonics and optical intelligence
  • Yu Zhao, Zile Li, Yongquan Zeng, Shaohua Yu, Guoxing Zheng
  • Opto-Electronic Science
  • 2026-08-26



  • Learning-based joint UAV trajectory and power allocation optimization for secure IoT networks                                Carnivorous plants inspired shape-morphing slippery surfaces
    About
    |
    Contact
    |
    Copyright © PubCard