SIMULATION OF ASTROCYTIC CALCIUM DYNAMICS IN LATTICE LIGHT SHEET MICROSCOPY IMAGES

被引：2

作者：

Badoual, Anais ^{[1
]}

Arizono, Misa ^{[2
]}

Denizot, Audrey ^{[3
]}

Ducros, Mathieu ^{[4
]}

Berry, Hugues ^{[5
,6
]}

Nagerl, U. Valentin ^{[2
]}

Kervrann, Charles ^{[1
]}

机构：

[1] Inria, Serp Team, Ctr Rech Bretagne Atlantique, Rennes, France

[2] Interdisciplinary Inst Neurosci, UMR5297, CNRS, Bordeaux, France

[3] Okinawa Inst Sci & Technol, Computat Neurosci Unit, Onna, Japan

[4] Bordeaux Imaging Ctr, UMS3420 CNRS, US04 INSERM, Bordeaux, France

[5] Inria, Ctr Rech Rhone Alpes, Beagle Team, F-69603 Villeurbanne, France

[6] Univ Lyon, LIRIS, UMR5205, CNRS, F-69621 Villeurbanne, France

来源：

2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) | 2021年

关键词：

Astrocytes; calcium signals; image analysis; lattice light sheet microscopy; synthetic training datasets;

D O I：

10.1109/ISBI48211.2021.9433984

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Astrocytes regulate neuronal information processing through a variety of spatio-temporal calcium signals. Recent advances in calcium imaging have started to shine light on astrocytic activity, but the complexity and size of the recorded data strongly call for more advanced computational analysis tools. Their development is currently hindered by the lack of reliable, labeled annotations that are essential for the evaluation of algorithms and the training of learning-based methods. To solve this labeling problem, we have designed a generator of 2D/3D lattice light sheet microscopy (LLSM) sequences which realistically depict the calcium dynamics of astrocytes. By closely modeling calcium kinetics in real astrocytic ramifications, the generated datasets open the door for the deployment of convolutional neural networks in LLSM.

引用

页码：135 / 139

页数：5

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