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Recent advances in label-free imaging and quantification techniques for the study of lipid droplets in cells.
Kim, Hyeonwoo; Oh, Seungeun; Lee, Seongsoo; Lee, Kwang Suk; Park, YongKeun.
Afiliación
  • Kim H; Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.
  • Oh S; Department of Physics, Department of Cellular Molecular Medicine, University of California, San Diego, CA 2093, USA.
  • Lee S; Gwangju Center, Korea Basic Science Institute (KBSI), Gwangju 61751, Republic of Korea; Department of Systems Biotechnology, Chung-Ang University Anseong-si, Gyeonggi-do 17546, Republic of Korea.
  • Lee KS; Department of Urology, Yonsei University College of Medicine, Gangnam Severance Hospital, Seoul 06229, Republic of Korea.
  • Park Y; Department of Physics, KAIST, Daejeon 34141, Republic of Korea; KAIST Institute for Health Science and Technology, KAIST, Daejeon 34141, Republic of Korea; Tomocube Inc., Daejeon 34109, Republic of Korea. Electronic address: yk.park@kaist.ac.kr.
Curr Opin Cell Biol ; 87: 102342, 2024 04.
Article en En | MEDLINE | ID: mdl-38428224
ABSTRACT
Lipid droplets (LDs), once considered mere storage depots for lipids, have gained recognition for their intricate roles in cellular processes, including metabolism, membrane trafficking, and disease states like obesity and cancer. This review explores label-free imaging techniques' applications in LD research. We discuss holotomography and vibrational spectroscopic microscopy, emphasizing their potential for studying LDs without molecular labels, and we highlight the growing integration of artificial intelligence. Clinical applications in disease diagnosis and therapy are also considered.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Gotas Lipídicas Idioma: En Revista: Curr Opin Cell Biol Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Gotas Lipídicas Idioma: En Revista: Curr Opin Cell Biol Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido