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bioRxivImmunologyPreprint

Supervised Automation of Cell Counting in Confocal Microscopic Cochlear Imaging Datasets Using Macro in Imaris

Muhammad Taifur RahmaniD, Nashwaan Ali Khan, Mobin Ibne MokbuliD, Ibrahim RazuiD, Shakila Mahmuda FatimaiD, Samia Sultana Lira, Cristina Garcia, Peter EckardiD, Marlan Rex HanseniD

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Abstract

Analyzing confocal microscopic data of biological samples using the Imaris software poses challenges due to its time-consuming nature involving tedious multiple steps and possibility of human errors. Here, we developed a supervised automation protocol to minimize manual input in cell and spot counting on confocal images obtained from mouse cochlear sections. The protocol increases efficiency by incorporating image recognition and object-oriented macros. Moreover, the protocol being adaptable allows scientists in diverse other fields to customize it for their specific needs. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=196 SRC="FIGDIR/small/604970v1_ufig1.gif" ALT="Figure 1"> View larger version (64K): org.highwire.dtl.DTLVardef@11b4aa0org.highwire.dtl.DTLVardef@c08c7dorg.highwire.dtl.DTLVardef@1479b59org.highwire.dtl.DTLVardef@280227_HPS_FORMAT_FIGEXP M_FIG C_FIG

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