DANNCE is a direct method for 3D markerless pose estimation and tracking developed by Timothy Dunn, Jesse Marshall, and colleagues in Bence Ölveczky’s lab. It works on recorded video data from multiple cameras. The key innovation in this method is to use geometrical...
Several methods for tracking behavior in three dimensions have emerged in recent years. Two related packages are DeepFly3D (Gunel et al., 2019) and LiftPose3D (Gosztolai et al., 2021). They were developed by a research group headed by Pavan Ramdya in the...
AniPose is a software toolkit for 3D pose estimation developed by Pierre Karashchuk and colleagues in the group of John Tuthill and in collaboration with Bing Brunton. The package uses DeepLabCut for 2D tracking and uses triangulation methods to project pose...
pyPhotometry is an open source system for fiber photometry. The project includes hardware and software. The pyPhotometry acquisition board uses a Micropython microcontroller. It is capable of acquiring data from two digital and two analog inputs and generates analog...
Marat Minlebaev and colleagues from Kazan Federal University used 3D printing methods to create a superfusion chamber and other parts for use in electrophysiology and neuroimaging studies in vivo. The project consists of a superfusion chamber, a brain presser, and...
