Accuracy of ROI algorithm in detecting simulated neuron position over 1000 simulations.

<p>For each simulation, the number of neurons tagged as ROIs was counted and divided by the total number of neurons of that activity pattern. This histogram shows that the neurons that are not detected are the inactive neurons. Over 400 simulations correctly marked 100% of the active neurons.&...

Full description

Saved in:

Bibliographic Details
Main Author:	Virgil Christian Garcia Castillo (19688355) (author)
Other Authors:	Latiful Akbar (19688358) (author), Ronnakorn Siwadamrongpong (19688361) (author), Yasumi Ohta (6421649) (author), Mamiko Kawahara (19688364) (author), Yoshinori Sunaga (16319293) (author), Hironari Takehara (19688367) (author), Hiroyuki Tashiro (8352750) (author), Kiyotaka Sasagawa (3976892) (author), Jun Ohta (5430950) (author)
Published:	2024
Subjects:	Biophysics Biochemistry Cell Biology Neuroscience Biotechnology Space Science Biological Sciences not elsewhere classified observed significant increases morphological image processing improved upon electrophysiology enabled novel methods dorsal raphe nucleus compact implantable cmos camp mouse experiments formalin injection compared based lensless ca div >< p 2 +</ sup fluorescence imaging technology monitoring brain activity interest determination algorithm fluorescence imaging fluorescence activity lensless devices formalin test sense activity fluorescence microscopes stimulate pain specific expression simulated data proven challenging observe pain lens system kernel size indicator proteins gold standard gaussian method footprint size control group adaptive binarizations
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Accuracy of ROI algorithm in detecting simulated neuron position over 1000 simulations.

Similar Items