Abstract

A custom convolutional neural network (CNN) integrated with convolutional long short-term memory (LSTM) achieves accurate 3D (2D + time) segmentation in cross-sectional videos of the Drosophila heart acquired by an optical coherence microscopy (OCM) system. While our previous FlyNet 1.0 model utilized regular CNNs to extract 2D spatial information from individual video frames, convolutional LSTM, FlyNet 2.0, utilizes both spatial and temporal information to improve segmentation performance further. To train and test FlyNet 2.0, we used 100 datasets including 500,000 fly heart OCM images. OCM videos in three developmental stages and two heartbeat situations were segmented achieving an intersection over union (IOU) accuracy of 92%. This increased segmentation accuracy allows morphological and dynamic cardiac parameters to be better quantified.

Highlights

  • Drosophila melanogaster, widely known as the fruit fly, shows many similarities with vertebrates in the early stages of heart development [1]

  • Employing the convolutional long short-term memory (LSTM) network found correlations between single fly heart Optical coherence microscopy (OCM) images separated by many frames, and these correlations can help us extract time-dependent information features of the fly heartbeat. With this well-trained FlyNet 2.0, we examined fly heart OCM videos taken in three developmental stages and two heartbeat situations

  • With reference to the intersection over union (IOU) test, the segmentation accuracy of FlyNet 2.0 was 92% which improved over the 86% value of the FlyNet 1.0

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Summary

Introduction

Drosophila melanogaster, widely known as the fruit fly, shows many similarities with vertebrates in the early stages of heart development [1]. As a powerful genetic model, Drosophila has been used to investigate heart development and cardiac diseases [5,6,7,8,9]. The penetration image depth of an OCM system is around 500 μm, deep enough to image a fruit fly heart, which is around 200 μm below the surface of the fly’s cuticle. Due to the large data size of the Drosophila cardiac OCM recording, a robust and fast method to segment the fruit fly heart is needed

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