scholarly journals Miniscope-LFOV: A large field of view, single cell resolution, miniature microscope for wired and wire-free imaging of neural dynamics in freely behaving animals

2021 ◽  
Author(s):  
Changliang Guo ◽  
Garrett J. Blair ◽  
Megha Sehgal ◽  
Federico N. Sangiuliano Jimka ◽  
Arash Bellafard ◽  
...  

We present a large field of view (FOV) open-source miniature microscope (MiniLFOV) designed to extend the capabilities of the UCLA Miniscope platform to large-scale, single cell resolution neural imaging in freely behaving large rodents and head-fixed mice. This system is capable of multiple imaging configurations, including deep brain imaging using implanted optical probes and cortical imaging through cranial windows. The MiniLFOV interfaces with existing open-source UCLA Miniscope DAQ hardware and software, can achieve single cell resolution imaging across a 3.6 × 2.7 mm field of view at 23 frames per second, has an electrically adjustable working distance of up to 3.5 mm±150 µm using an onboard electrowetting lens, incorporates an absolute head-orientation sensor, and weighs under 14 grams. The MiniLFOV provides a 30-fold larger FOV and yields 20-fold better sensitivity than Miniscope V3, and a 12-fold larger FOV with 2-fold better sensitivity than Miniscope V4. Power and data transmission are handled through a single, flexible coaxial cable down to 0.3 mm in diameter facilitating naturalistic behavior. We validated the MiniLFOV in freely behaving rats by simultaneously imaging >1000 GCaMP7s expressing neurons in the CA1 layer of the hippocampus and in head-fixed mice by simultaneously imaging ~2000 neurons in the mouse dorsal cortex through a 4 × 4 mm cranial window. For freely behaving experiments, the MiniLFOV supports optional wire-free operation using a 3.5 g wire-free data acquisition expansion board which enables close to 1-hour of wire-free recording with a 400 mAh (7.5 g) on-board single-cell lithium-polymer battery and expands wire-free imaging techniques to larger animal models. We expect this new open-source implementation of the UCLA Miniscope platform will enable researchers to address novel hypotheses concerning brain function in freely behaving animals.

2021 ◽  
Author(s):  
Mikolaj Rogalski ◽  
Piotr Zdankowski ◽  
Maciej Trusiak

Fourier ptychographic microscopy (FPM) is a computational microscopy technique that enables large field of view and high-resolution microscopic imaging of biological samples. However, the FPM does not yet have an adequately capable open-source software. In order to fill this gap we are presenting novel, simple, universal, semi-automatic and highly intuitive graphical user interface (GUI) open-source application called the FPM app enabling wide-scale robust FPM reconstruction. Apart from implementing the FPM in accessible GUI app, we also made several improvements in the FPM image reconstruction process itself, making the FPM more automatic, noise-robust and faster.


2021 ◽  
Author(s):  
Joseph R Scherrer ◽  
Galen F Lynch ◽  
Jie J Zhang ◽  
Michale S Fee

We present a novel fluorescence microscope light path that enables imaging of over a thousand neurons in freely-behaving mice and imaging in juvenile songbirds. The light path eliminates traditional illumination optics, allowing for head-mounted microscopes that have both a lower weight and a larger field-of-view (FOV) than previously possible. Using this light path, we designed two microscopes: one optimized for field-of-view (~4 mm FOV; 1.4 g), and the other optimized for weight (1.0 mm FOV; 1.0 g).


Author(s):  
Jianheng Huang ◽  
Yaohu Lei ◽  
Xin Liu ◽  
Jinchuan Guo ◽  
Ji Li ◽  
...  

ACS Photonics ◽  
2021 ◽  
Author(s):  
Anders Kokkvoll Engdahl ◽  
Stefan Belle ◽  
Tung-Cheng Wang ◽  
Ralf Hellmann ◽  
Thomas Huser ◽  
...  

Author(s):  
Kornél Kapás ◽  
Tamás Bozóki ◽  
Gergely Dálya ◽  
János Takátsy ◽  
László Mészáros ◽  
...  

Measurement ◽  
2015 ◽  
Vol 64 ◽  
pp. 1-16 ◽  
Author(s):  
Zhen Liu ◽  
Fengjiao Li ◽  
Xiaojing Li ◽  
Guangjun Zhang

2012 ◽  
Vol 45 (12) ◽  
pp. 4138-4150 ◽  
Author(s):  
Thomas Weibel ◽  
Christian Daul ◽  
Didier Wolf ◽  
Ronald Rösch ◽  
François Guillemin

Sign in / Sign up

Export Citation Format

Share Document