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data processing software idps  (Inscopix Inc)

 
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    Inscopix Inc data processing software idps
    Data Processing Software Idps, supplied by Inscopix Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+processing+software+(idps)/data+processing+software+idps/pm37285430-336-22-27
    Average 90 stars, based on 1 article reviews
    data processing software idps - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Prefrontal representations of retrospective spatial working memory in a rodent radial maze task
    Article Snippet: Videos were then spatially downsampled by a factor of 4, cropped to the lens, and exported to tiff stacks using Inscopix Data Processing (IDP) software.

    Article Title: Impaired hippocampal circuit function underlying memory encoding and consolidation precede robust Aβ deposition in a mouse model of alzheimer’s disease
    Article Snippet: Inscopix Data Processing Software (IDPS, Inscopix, Palo Alto, California) was used for movie preprocessing, motion correction, normalization ΔF/F and constrained non-negative matrix factorization (CNMFE) cell identification .

    Article Title: The natural variability of a dexterous motor skill is stably encoded in the cortex of freely behaving mice
    Article Snippet: Data was pre-processed using Inscopix’s proprietary software (Inscopix Data Processing Software, IDPS), including downsampling by averaging (4× downsampling means a 4×4 square of pixels is averaged to one pixel), spatial filtering, and motion correction.

    Article Title: Parallel processing of past and future memories through reactivation and synaptic plasticity mechanisms during sleep
    Article Snippet: In vivo calcium imaging data were analysed with Inscopix data software (IDPS, Inscopix, USA), Inscopix Mosaic software (Mosaic, Inscopix, USA), Fiji software (NIH, USA), HOTARU (see methods), custom-made program for NMF analysis can be found at https://github.com/fccaa/ NMF_custom, the custom-made codes for neural network model can be found at https://github.com/oist-ncbc/engramtobe_simulation, the custom-made codes for co-activities detection and PCA-ICA analysis can be found at https://github.com/IdlingBrainUT/ Ghandour2025_NatureCommunications.git.

    Article Title: Harnessing Miniscope Imaging in Freely Moving Animals to Unveil Migraine Pathophysiology and Validate Novel Therapeutic Strategies
    Article Snippet: The resulting videos were subsequently processed, motion‐corrected, and analyzed in the Inscopix Data Processing Software (IDPS, Inscopix, Inc.).

    Article Title: Impaired hippocampal circuit function underlying memory encoding and consolidation precede robust Aβ deposition in a mouse model of alzheimer's disease.
    Article Snippet: Inscopix Data Processing Software (IDPS, Inscopix, Palo Alto, California) was used for movie preprocessing, motion correction, normalization ΔF/F and constrained non-negative matrix factorization (CNMFE) cell identification82.

    Article Title: Anatomical and functional examination of superior colliculus projections to the inferior olivary neurons in mice
    Article Snippet: A GRIN lens (9 mm length, 1 mm diameter) connected to an Inscopix mini-microscope was placed on the ventral IO surface.

    Software:

    Article Title: Dynamic representation of appetitive and aversive stimuli in nucleus accumbens shell D1- and D2-medium spiny neurons
    Article Snippet: .. Using the Inscopix Data Processing Software (IDPS), we performed a field of view cropping to remove marginal areas and fixed this region for all recording session for each animal. ..



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    a , Simultaneous in vivo calcium imaging and optogenetic stimulation under free-moving conditions. AAV-syn-GCaMP6f and AAV-syn-ChrimsonR were co-injected into the DG, followed by GRIN-lens implantation. An integrated miniature microscope (nVoke; <t>Inscopix)</t> enabled large-scale cellular-resolution Ca 2+ imaging and optogenetic stimulation. b, Left: Expression of GCaMP6f and ChrimsonR in the DG. Right: Max projection of relative fluorescence change (Δ F / F ) of Ca 2+ transients from all imaging frames during the first 30 min, showing representative active neurons. c, Top: Experimental design of Ca 2+ imaging combined with optogenetic stimulation during the open field test. Each 50-min session consisted of 30-min Ca 2+ imaging (used for the following analysis), 5-min optogenetic stimulation, and 15-min post-stimulation recording. This was repeated for 10 days. No light was introduced to mice in the No Stim group. Bottom: Δ F / F traces from 15 representative neurons (scale bar, 10% Δ F / F ). <t>Data</t> from 25 to 38 min of a 50-min session are shown. d, Distance traveled during the first 30 min e, Average Ca 2+ transient rate during the first 30 min. f, Distribution of spatial information for the No Stim (grey curve) and Stim×10 groups (red curve). The vertical axis represents the frequency of distribution, with the dotted line indicating the criterion for place cells (top 95% percentile of the shuffled distribution; see Methods section). Bar graph indicates proportion of place cells. g, Representative results of position decoding using Ca 2+ imaging data. The first 30 min was split into two 15-min halves for training and test data for decoding. Black/red lines: observed position; grey/pink lines: decoded position. h, Decoding accuracy (mae; mean absolute error, cm). Dotted lines: shuffled control. Two-way repeated measures ANOVA: Stim type, F (1, 8) = 6.49, P = 0.034; Day, F (2, 16) = 2.89, P = 0.085; Stim type × Day, F (2, 16) = 1.11, P = 0.353. Bonferroni correction for multiple comparisons was performed, * P < 0.05. i, Same as f , but for speed information and speed cells. The dotted line indicates the criterion for speed cells (top 99% percentile of the shuffled distribution). j, Same as g , but for speed decoding. k, Same as h , but for speed decoding accuracy. Two-way repeated measures ANOVA: Stim type, F (1, 8) =4.02, P = 0.080; Day, F (2, 16) = 4.87, P = 0.022; Day×Stim type, F (2, 16) = 3.98, P = 0.039. Bonferroni correction for multiple comparisons was performed, * P < 0.05.
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    a , Simultaneous in vivo calcium imaging and optogenetic stimulation under free-moving conditions. AAV-syn-GCaMP6f and AAV-syn-ChrimsonR were co-injected into the DG, followed by GRIN-lens implantation. An integrated miniature microscope (nVoke; <t>Inscopix)</t> enabled large-scale cellular-resolution Ca 2+ imaging and optogenetic stimulation. b, Left: Expression of GCaMP6f and ChrimsonR in the DG. Right: Max projection of relative fluorescence change (Δ F / F ) of Ca 2+ transients from all imaging frames during the first 30 min, showing representative active neurons. c, Top: Experimental design of Ca 2+ imaging combined with optogenetic stimulation during the open field test. Each 50-min session consisted of 30-min Ca 2+ imaging (used for the following analysis), 5-min optogenetic stimulation, and 15-min post-stimulation recording. This was repeated for 10 days. No light was introduced to mice in the No Stim group. Bottom: Δ F / F traces from 15 representative neurons (scale bar, 10% Δ F / F ). <t>Data</t> from 25 to 38 min of a 50-min session are shown. d, Distance traveled during the first 30 min e, Average Ca 2+ transient rate during the first 30 min. f, Distribution of spatial information for the No Stim (grey curve) and Stim×10 groups (red curve). The vertical axis represents the frequency of distribution, with the dotted line indicating the criterion for place cells (top 95% percentile of the shuffled distribution; see Methods section). Bar graph indicates proportion of place cells. g, Representative results of position decoding using Ca 2+ imaging data. The first 30 min was split into two 15-min halves for training and test data for decoding. Black/red lines: observed position; grey/pink lines: decoded position. h, Decoding accuracy (mae; mean absolute error, cm). Dotted lines: shuffled control. Two-way repeated measures ANOVA: Stim type, F (1, 8) = 6.49, P = 0.034; Day, F (2, 16) = 2.89, P = 0.085; Stim type × Day, F (2, 16) = 1.11, P = 0.353. Bonferroni correction for multiple comparisons was performed, * P < 0.05. i, Same as f , but for speed information and speed cells. The dotted line indicates the criterion for speed cells (top 99% percentile of the shuffled distribution). j, Same as g , but for speed decoding. k, Same as h , but for speed decoding accuracy. Two-way repeated measures ANOVA: Stim type, F (1, 8) =4.02, P = 0.080; Day, F (2, 16) = 4.87, P = 0.022; Day×Stim type, F (2, 16) = 3.98, P = 0.039. Bonferroni correction for multiple comparisons was performed, * P < 0.05.
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    a , Simultaneous in vivo calcium imaging and optogenetic stimulation under free-moving conditions. AAV-syn-GCaMP6f and AAV-syn-ChrimsonR were co-injected into the DG, followed by GRIN-lens implantation. An integrated miniature microscope (nVoke; Inscopix) enabled large-scale cellular-resolution Ca 2+ imaging and optogenetic stimulation. b, Left: Expression of GCaMP6f and ChrimsonR in the DG. Right: Max projection of relative fluorescence change (Δ F / F ) of Ca 2+ transients from all imaging frames during the first 30 min, showing representative active neurons. c, Top: Experimental design of Ca 2+ imaging combined with optogenetic stimulation during the open field test. Each 50-min session consisted of 30-min Ca 2+ imaging (used for the following analysis), 5-min optogenetic stimulation, and 15-min post-stimulation recording. This was repeated for 10 days. No light was introduced to mice in the No Stim group. Bottom: Δ F / F traces from 15 representative neurons (scale bar, 10% Δ F / F ). Data from 25 to 38 min of a 50-min session are shown. d, Distance traveled during the first 30 min e, Average Ca 2+ transient rate during the first 30 min. f, Distribution of spatial information for the No Stim (grey curve) and Stim×10 groups (red curve). The vertical axis represents the frequency of distribution, with the dotted line indicating the criterion for place cells (top 95% percentile of the shuffled distribution; see Methods section). Bar graph indicates proportion of place cells. g, Representative results of position decoding using Ca 2+ imaging data. The first 30 min was split into two 15-min halves for training and test data for decoding. Black/red lines: observed position; grey/pink lines: decoded position. h, Decoding accuracy (mae; mean absolute error, cm). Dotted lines: shuffled control. Two-way repeated measures ANOVA: Stim type, F (1, 8) = 6.49, P = 0.034; Day, F (2, 16) = 2.89, P = 0.085; Stim type × Day, F (2, 16) = 1.11, P = 0.353. Bonferroni correction for multiple comparisons was performed, * P < 0.05. i, Same as f , but for speed information and speed cells. The dotted line indicates the criterion for speed cells (top 99% percentile of the shuffled distribution). j, Same as g , but for speed decoding. k, Same as h , but for speed decoding accuracy. Two-way repeated measures ANOVA: Stim type, F (1, 8) =4.02, P = 0.080; Day, F (2, 16) = 4.87, P = 0.022; Day×Stim type, F (2, 16) = 3.98, P = 0.039. Bonferroni correction for multiple comparisons was performed, * P < 0.05.

    Journal: bioRxiv

    Article Title: Repetitive Neuronal Activation Regulates Cellular Maturation State via Nuclear Reprogramming

    doi: 10.1101/2025.05.02.651848

    Figure Lengend Snippet: a , Simultaneous in vivo calcium imaging and optogenetic stimulation under free-moving conditions. AAV-syn-GCaMP6f and AAV-syn-ChrimsonR were co-injected into the DG, followed by GRIN-lens implantation. An integrated miniature microscope (nVoke; Inscopix) enabled large-scale cellular-resolution Ca 2+ imaging and optogenetic stimulation. b, Left: Expression of GCaMP6f and ChrimsonR in the DG. Right: Max projection of relative fluorescence change (Δ F / F ) of Ca 2+ transients from all imaging frames during the first 30 min, showing representative active neurons. c, Top: Experimental design of Ca 2+ imaging combined with optogenetic stimulation during the open field test. Each 50-min session consisted of 30-min Ca 2+ imaging (used for the following analysis), 5-min optogenetic stimulation, and 15-min post-stimulation recording. This was repeated for 10 days. No light was introduced to mice in the No Stim group. Bottom: Δ F / F traces from 15 representative neurons (scale bar, 10% Δ F / F ). Data from 25 to 38 min of a 50-min session are shown. d, Distance traveled during the first 30 min e, Average Ca 2+ transient rate during the first 30 min. f, Distribution of spatial information for the No Stim (grey curve) and Stim×10 groups (red curve). The vertical axis represents the frequency of distribution, with the dotted line indicating the criterion for place cells (top 95% percentile of the shuffled distribution; see Methods section). Bar graph indicates proportion of place cells. g, Representative results of position decoding using Ca 2+ imaging data. The first 30 min was split into two 15-min halves for training and test data for decoding. Black/red lines: observed position; grey/pink lines: decoded position. h, Decoding accuracy (mae; mean absolute error, cm). Dotted lines: shuffled control. Two-way repeated measures ANOVA: Stim type, F (1, 8) = 6.49, P = 0.034; Day, F (2, 16) = 2.89, P = 0.085; Stim type × Day, F (2, 16) = 1.11, P = 0.353. Bonferroni correction for multiple comparisons was performed, * P < 0.05. i, Same as f , but for speed information and speed cells. The dotted line indicates the criterion for speed cells (top 99% percentile of the shuffled distribution). j, Same as g , but for speed decoding. k, Same as h , but for speed decoding accuracy. Two-way repeated measures ANOVA: Stim type, F (1, 8) =4.02, P = 0.080; Day, F (2, 16) = 4.87, P = 0.022; Day×Stim type, F (2, 16) = 3.98, P = 0.039. Bonferroni correction for multiple comparisons was performed, * P < 0.05.

    Article Snippet: To extract the activity patterns of individual DG neurons from the obtained fluorescent images, we used Inscopix Data Processing Software (IDPS 1.8.0).

    Techniques: In Vivo, Imaging, Injection, Microscopy, Expressing, Fluorescence, Control