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
  • AI-powered nonlinear optical imaging reveals protein spatial homogenization as an indicator of impaired bone quality in type 2 diabetes
  • Bowen Zhang, Jiangbo Pu, Tao Hu, Junjie Zeng, Han Zhang, Zemeng Chen, Xiang Ji, Shuhua Yue, Lin Z. Li, Ting Li
  • Opto-Electronic Advances
  • 2026-05-15
  • Highly sensitive SWCNT-based pyroelectric phototransistors for broadband room temperature infrared detection
  • Svetlana I. Serebrennikova, Daria S. Kopylova, Yuriy G. Gladush, Sakellaris Mailis, Nikita E. Gordeev, Aliya R. Vildanova, Aleksandr V. Averchenko, Sergey S. Zhukov, Dmitry V. Krasnikov, Albert G. Nasibulin
  • Opto-Electronic Advances
  • 2026-05-15
  • Active retinal projection augmented reality display via pixel-to-pixel collimation
  • Xiang Zhang, Yuanlong Huang, Weiyao Fan, Enguo Chen, Jiajun Luo
  • Opto-Electronic Advances
  • 2026-05-15
  • Massively parallel and programmable photonic differential equation solver
  • Jiahao Wang, Wen Chen, Zhou Zhou, Dongyu Hu, Zile Li, Peng Chen, Yan-qing Lu, Shuang Zhang, Cheng-Wei Qiu, Shaohua Yu, Guoxing Zheng
  • Opto-Electronic Advances
  • 2026-05-15
  • Femtosecond laser rapid customization of high-performance anti-reflection windows
  • Yulong Ding, Xiang Jiang, Cong Wang, Xianshi Jia, Linpeng Liu, Weina Han, Zheng Gao, Shiyu Wang, Nai Lin, Dejin Yan, Ji'an Duan
  • Opto-Electronic Science
  • 2026-04-23
  • Ppt-level volatile organic compounds detection via microsecond-pulse-enhanced mid-infrared photoacoustic
  • Senyu Wang, Liang Zhao, Hongyu Luo, Xiangyu Zhao, Jianfeng Li, Wei Wang, Hao Lei, Mingrui Jiang, Jinlong Wan, Binxing Zhao, Bincheng Li, Yong Liu
  • Opto-Electronic Science
  • 2026-04-23
  • Polarization-guided diffusion prior for eyeglass reflection removal
  • Yating Chen, Liangcai Cao
  • Opto-Electronic Advances
  • 2026-04-17
  • AI-assisted metaphotonics
  • Minsung Kang, Seokju Choi, Kaixi Fu, Xiaoyuan Liu, Zhun Wei, Lei Jin, Hao Wang, Olivier J. F. Martin, Joel K. W. Yang, Sunae So, Trevon Badloe
  • Opto-Electronic Advances
  • 2026-04-17
  • Terahertz imaging technology: progress and applications
  • Yuyuan Tian, Xiaoyin Chen, Zhuocheng Zhang, Qianze Yan, Yiming Liu, Chengliang Deng, Min Wan, Jiang Li, Xiaoqiuyan Zhang, Lu Rong, Elizaveta Tsiplakova, Nikolay Petrov, Xinke Wang, Liguo Zhu, Min Hu, Yan Zhang
  • Opto-Electronic Technology
  • 2026-03-30
  • Interpretable low-dose CT enhancement via multi-Gaussian cluster variance reduction
  • Xiaofeng Zhang, Yilan Zhu, Yongsheng Huang, Jielong Yang, Zhili Wang, Kai Zhang, Si Chen, Linbo Liu, Xin Ge
  • Opto-Electronic Science
  • 2026-03-25
  • Polygonal generalized perfect spatiotemporal optical vortices
  • Shuoshuo Zhang, Zhangyu Zhou, Qianyi Wei, Zhongsheng Man, Changjun Min, Wending Zhang, Yuquan Zhang, Ting Mei, Xiaocong Yuan
  • Opto-Electronic Science
  • 2026-03-25



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