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1.
PLoS One ; 19(9): e0308573, 2024.
Article in English | MEDLINE | ID: mdl-39288120

ABSTRACT

Advances in fluorescence imaging technology have been crucial to the progress of neuroscience. Whether it was specific expression of indicator proteins, detection of neurotransmitters, or miniaturization of fluorescence microscopes, fluorescence imaging has improved upon electrophysiology, the gold standard for monitoring brain activity, and enabled novel methods to sense activity in the brain. Hence, we developed a lightweight and compact implantable CMOS-based lensless Ca2+ imaging device for freely moving transgenic G-CaMP mouse experiments. However, without a lens system, determination of regions of interest (ROI) has proven challenging. Localization of fluorescence activity and separation of signal from noise are difficult. In this study, we report an ROI selection method using a series of adaptive binarizations with a gaussian method and morphological image processing. The parameters for each operation such as the kernel size, sigma and footprint size were optimized. We then validated the utility of the algorithm with simulated data and freely moving nociception experiments using the lensless devices. The device was implanted in the dorsal raphe nucleus to observe pain-related brain activity following a formalin test to stimulate pain. We observed significant increases in fluorescence activity after formalin injection compared to the control group when using the ROI determination algorithm.


Subject(s)
Algorithms , Calcium , Animals , Calcium/metabolism , Mice , Mice, Transgenic , Brain/metabolism , Brain/diagnostic imaging , Image Processing, Computer-Assisted/methods , Microscopy, Fluorescence/methods , Optical Imaging/methods
2.
Annu Int Conf IEEE Eng Med Biol Soc ; 2022: 4864-4867, 2022 07.
Article in English | MEDLINE | ID: mdl-36085844

ABSTRACT

A readout device for a dual-functional neural observation system is presented. The authors separately developed the reading operation of an implantable CMOS image sensor and a setup for fast-scan cyclic voltammetry and implemented them together in a microcontroller-based device. The developed imaging readout device with a size of [Formula: see text] can reach the highest reading rate of 160 fps with a 120×268 pixel image sensor. The voltammetry function was verified through an experiment using commercial carbon fiber electrodes in phosphate-buffered saline. When the imaging is sequentially operated with 400 V/s-scan rate voltammetry from -0.4 to 1.3 V, the system can operate at up to 60 fps. With this system, calcium imaging and dopamine recording in a freely behaving mouse can be achieved together in a simpler manner. This study aims to be the basis for the development of an implantable multi-functional sensor.


Subject(s)
Calcium , Optical Imaging , Animals , Carbon Fiber , Dopamine , Mice , Radionuclide Imaging
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