Protocol for AI-based segmentation and quantification of interstitial cells of Cajal in murine gastric muscle.

Journal: STAR protocols
PMID: 39977270

Abstract

Interstitial cells of Cajal (ICCs), pacemaker and neuromodulator cells in the gastrointestinal (GI) tract, play an important role in GI motility. However, quantifying ICCs is challenging due to their mixed morphologies. Here, we present a protocol for preparing and immunostaining ICC in the murine gastric tunica muscularis using artificial intelligence (AI). We describe steps for obtaining muscles, whole-mount staining, and imaging ICC using confocal microscope. We then detail procedures for training an AI to identify ICCs and quantify their volume. For complete details on the use and execution of this protocol, please refer to Taheri et al..

Authors

  • Egan L Choi
    Enteric Neuroscience Program and Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA; Gastroenterology Research Unit, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA. Electronic address: choiegan00@gmail.com.
  • Negar Taheri
    Enteric Neuroscience Program and Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA; Gastroenterology Research Unit, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.
  • Yujiro Hayashi
    Enteric Neuroscience Program and Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA; Gastroenterology Research Unit, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA. Electronic address: hayashi.yujiro@mayo.edu.

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