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imas software  (DeLaval Inc)

 
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    DeLaval Inc imas software
    Imas Software, supplied by DeLaval 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/imas+software/imas+software/pm30712938-56-13-26
    Average 90 stars, based on 1 article reviews
    imas software - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Software:

    Article Title: Technical note: Validation of an automated in-line milk progesterone analysis system to diagnose pregnancy in dairy cattle.
    Article Snippet: .. In brief, once a P4c decline was determined, estrus notification occurred in the IMAS software and AI was recommended to occur by 24 to 36 h (DeLaval International, 2011). ..

    Article Title: Using in-line milk progesterone data to characterize parameters of luteal activity and their association with fertility in Holstein cows.
    Article Snippet: .. Once a P4c-decline was determined, a notification of estrus occurred in the IMAS software and AI was recommended by the manufacturer to occur within 24 to 36 h (DeLaval International, 2011). ..



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    Image Search Results


    Object-based segmentation of synaptic puncta using IMA in MetaMorph software (A) A source image as confocal PSD95 image selected for specific objects based on length, breadth, and area filters. (B) A display of filtering parameters in IMA. (C) Object data for the synaptic puncta obtained through IMA. (D) A binary IMA object mask created as an output image. (E and F) Dynamic data exchange command for exporting the object data on postsynaptic puncta to an excel file.

    Journal: STAR Protocols

    Article Title: Quantifying molecular aggregation by super resolution microscopy within an excitatory synapse from mouse hippocampal neurons

    doi: 10.1016/j.xpro.2021.100470

    Figure Lengend Snippet: Object-based segmentation of synaptic puncta using IMA in MetaMorph software (A) A source image as confocal PSD95 image selected for specific objects based on length, breadth, and area filters. (B) A display of filtering parameters in IMA. (C) Object data for the synaptic puncta obtained through IMA. (D) A binary IMA object mask created as an output image. (E and F) Dynamic data exchange command for exporting the object data on postsynaptic puncta to an excel file.

    Article Snippet: Object-based segmentation of synaptic puncta using IMA in MetaMorph software (A) A source image as confocal PSD95 image selected for specific objects based on length, breadth, and area filters. (B) A display of filtering parameters in IMA. (C) Object data for the synaptic puncta obtained through IMA. (D) A binary IMA object mask created as an output image. (E and F) Dynamic data exchange command for exporting the object data on postsynaptic puncta to an excel file. g. Create ROIs on the filtered objects (refer above to step f).

    Techniques: Software

    Creating ROIs on the filtered objects in MetaMorph software (A) Region menu displaying several options like creating regions around objects or transferring regions from one image to another. (B) Creating ROIs around the objects filtered with IMA object mask as the source image. The ROIs are marked in yellow color.

    Journal: STAR Protocols

    Article Title: Quantifying molecular aggregation by super resolution microscopy within an excitatory synapse from mouse hippocampal neurons

    doi: 10.1016/j.xpro.2021.100470

    Figure Lengend Snippet: Creating ROIs on the filtered objects in MetaMorph software (A) Region menu displaying several options like creating regions around objects or transferring regions from one image to another. (B) Creating ROIs around the objects filtered with IMA object mask as the source image. The ROIs are marked in yellow color.

    Article Snippet: Object-based segmentation of synaptic puncta using IMA in MetaMorph software (A) A source image as confocal PSD95 image selected for specific objects based on length, breadth, and area filters. (B) A display of filtering parameters in IMA. (C) Object data for the synaptic puncta obtained through IMA. (D) A binary IMA object mask created as an output image. (E and F) Dynamic data exchange command for exporting the object data on postsynaptic puncta to an excel file. g. Create ROIs on the filtered objects (refer above to step f).

    Techniques: Software, Transferring

    Semiautomated detection of functional zones (PSD) of an excitatory synapse using MetaMorph software (A and C) STED PSD95 image and a corresponding binary IMA object mask with regions created around objects segmented as PSD regions using IMA. The filtered PSDs are marked in green while the region boundaries are shown in yellow. (B and D) The IMA and thresholding parameters employed for filtering PSDs from STED PSD95 image as a source image.

    Journal: STAR Protocols

    Article Title: Quantifying molecular aggregation by super resolution microscopy within an excitatory synapse from mouse hippocampal neurons

    doi: 10.1016/j.xpro.2021.100470

    Figure Lengend Snippet: Semiautomated detection of functional zones (PSD) of an excitatory synapse using MetaMorph software (A and C) STED PSD95 image and a corresponding binary IMA object mask with regions created around objects segmented as PSD regions using IMA. The filtered PSDs are marked in green while the region boundaries are shown in yellow. (B and D) The IMA and thresholding parameters employed for filtering PSDs from STED PSD95 image as a source image.

    Article Snippet: Object-based segmentation of synaptic puncta using IMA in MetaMorph software (A) A source image as confocal PSD95 image selected for specific objects based on length, breadth, and area filters. (B) A display of filtering parameters in IMA. (C) Object data for the synaptic puncta obtained through IMA. (D) A binary IMA object mask created as an output image. (E and F) Dynamic data exchange command for exporting the object data on postsynaptic puncta to an excel file. g. Create ROIs on the filtered objects (refer above to step f).

    Techniques: Functional Assay, Software

    Kaplan-Meier curve showing gestational age at birth with DNA methylation levels of cg11408933 ( PCDH1 , protocadherin 1) dichotomized at the median. Group 1 of the CpG cg11408933 includes subjects with lower DNAm levels and group 2 subjects with higher DNAm levels.

    Journal: Epigenetics Insights

    Article Title: Paternal DNA Methylation May Be Associated With Gestational Age at Birth

    doi: 10.1177/2516865720930701

    Figure Lengend Snippet: Kaplan-Meier curve showing gestational age at birth with DNA methylation levels of cg11408933 ( PCDH1 , protocadherin 1) dichotomized at the median. Group 1 of the CpG cg11408933 includes subjects with lower DNAm levels and group 2 subjects with higher DNAm levels.

    Article Snippet: The Bioconductor IMA (Illumina methylation analyzer) package and the ComBat package were applied to preprocess raw DNAm data, including removing background noise, adjusting for inter-array variation, performing peak correction, and removing batch effects.

    Techniques: DNA Methylation Assay