RRC ID 74959
Author Eun-Seo Cho, Seungjae Han, Kang-Han Lee, Cheol-Hee Kim, Young-Gyu Yoon
Title 3DM: deep decomposition and deconvolution microscopy for rapid neural activity imaging
Journal Optics Express
Abstract We report the development of deep decomposition and deconvolution microscopy (3DM), a computational microscopy method for the volumetric imaging of neural activity. 3DM overcomes the major challenge of deconvolution microscopy, the ill-posed inverse problem. We take advantage of the temporal sparsity of neural activity to reformulate and solve the inverse problem using two neural networks which perform sparse decomposition and deconvolution. We demonstrate the capability of 3DM via in vivo imaging of the neural activity of a whole larval zebrafish brain with a field of view of 1040 µm × 400 µm × 235 µm and with estimated lateral and axial resolutions of 1.7 µm and 5.4 µm, respectively, at imaging rates of up to 4.2 volumes per second.
Volume 29
Pages 32700
Published 2021-9-27
DOI 10.1364/oe.439619
PMID 34615335
MeSH Animals Brain / diagnostic imaging* Brain / physiology Imaging, Three-Dimensional / methods* Intravital Microscopy / methods Larva Microscopy, Confocal Microscopy, Fluorescence / methods* Neural Networks, Computer Neurons / physiology Optical Imaging / methods* Spinal Cord / diagnostic imaging Spinal Cord / physiology Zebrafish / physiology*
IF 3.669
Zebrafish UAS:GCaMP7a