scholarly journals MIN1PIPE: A Miniscope 1-Photon-Based Calcium Imaging Signal Extraction Pipeline

Cell Reports ◽  
2018 ◽  
Vol 23 (12) ◽  
pp. 3673-3684 ◽  
Author(s):  
Jinghao Lu ◽  
Chunyuan Li ◽  
Jonnathan Singh-Alvarado ◽  
Zhe Charles Zhou ◽  
Flavio Fröhlich ◽  
...  
Keyword(s):  
Calcium Imaging ◽  
Signal Extraction

scholarly journals Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging

2020 ◽  
Vol 14 ◽  
Author(s):  
Yaesop Lee ◽  
Jing Xie ◽  
Eungjoo Lee ◽  
Srijesh Sudarsanan ◽  
Da-Ting Lin ◽  
...  
Keyword(s):  
Real Time ◽  
Calcium Imaging ◽  
Signal Extraction ◽  
Neural Signal

scholarly journals Mesmerize: A highly versatile platform for calcium imaging analysis and creation of self-contained FAIR datasets

2019 ◽  
Author(s):  
Kushal Kolar ◽  
Daniel Dondorp ◽  
Marios Chatzigeorgiou
Keyword(s):  
Calcium Imaging ◽  
Signal Extraction ◽  
Graphical Interface ◽  
Imaging Analysis ◽  
C Elegans ◽  
Analysis Process ◽  
Visual Cortex Neurons ◽  
Mouse Visual Cortex ◽  
Analysis Platform ◽  
Scientific Questions

AbstractWe present an efficient and expandable calcium imaging analysis platform that encapsulates the entire analysis process from raw data to interactive e-figures. It provides a graphical interface to the latest analysis methods for pre-processing, and signal extraction. We demonstrate how Mesmerize can be applied to a broad range of scientific questions by using datasets ranging from the mouse visual cortex, neurons, epidermis and TLCs of the protochordate C. intestinalis, and C. elegans.

scholarly journals Effects of Multi-Component Backgrounds of Volatile Plant Compounds on Moth Pheromone Perception

Insects ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 409
Author(s):  
Lucie Conchou ◽  
Philippe Lucas ◽  
Nina Deisig ◽  
Elodie Demondion ◽  
Michel Renou
Keyword(s):  
Calcium Imaging ◽  
Active Component ◽  
Signal Extraction ◽  
Agrotis Ipsilon ◽  
Vapor Pressures ◽  
Mixture Effects ◽  
Central Neurons ◽  
Receptor Neurons ◽  
Pheromone Perception ◽  
Plant Compounds

The volatile plant compounds (VPC) alter pheromone perception by insects but mixture effects inside insect olfactory landscapes are poorly understood. We measured the activity of receptor neurons tuned to Z7-12Ac (Z7-ORN), a pheromone component, in the antenna and central neurons in male Agrotis ipsilon while exposed to simple or composite backgrounds of a panel of VPCs representative of the odorant variety encountered by a moth. Maps of activities were built using calcium imaging to visualize which areas in antennal lobes (AL) were affected by VPCs. We compared the VPC activity and their impact as backgrounds at antenna and AL levels, individually or in blends. At periphery, VPCs showed differences in their capacity to elicit Z7-ORN firing response that cannot be explained by differences in stimulus intensities because we adjusted concentrations according to vapor pressures. The AL neuronal network, which reformats the ORN input, did not improve pheromone salience. We postulate that the AL network evolved to increase sensitivity and to encode for fast changes of pheromone at some cost for signal extraction. Comparing blends to single compounds indicated that a blend shows the activity of its most active component. VPC salience seems to be more important than background complexity.

A new method of fluxgate signal extraction

2017 ◽  
Vol 2017 (45) ◽  
pp. 83-89
Author(s):  
A.A. Marusenkov ◽  
Keyword(s):  
High Frequency ◽  
Second Harmonic ◽  
Excitation Frequency ◽  
Low Noise ◽  
Measuring System ◽  
Signal Extraction ◽  
Fluxgate Magnetometer ◽  
New Approach ◽  
Average Value ◽  
The Time Domain

Using dedicated high-frequency measuring system the distribution of the Barkhausen jumps intensity along a reversal magnetization cycle was investigated for low noise fluxgate sensors of various core shapes. It is shown that Barkhausen (reversal magnetization) noise intensity is strongly inhomogeneous during an excitation cycle. In the traditional second harmonic fluxgate magnetometers the signals are extracted in the frequency domain, as a result, some average value of reversal magnetization noises is contributed to the output signals. In order to fit better the noise shape and minimize its transfer to the magnetometer output the new approach for demodulating signals of these sensors is proposed. The new demodulating method is based on information extraction in the time domain taking into account the statistical properties of cyclic reversal magnetization noises. This approach yields considerable reduction of the fluxgate magnetometer noise in comparison with demodulation of the signal filtered at the second harmonic of the excitation frequency.

Calcium Imaging

BIO-PROTOCOL ◽  
2012 ◽  
Vol 2 (7) ◽  
Author(s):  
Mingye Feng
Keyword(s):  
Calcium Imaging
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