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Fully Automated Attenuation Measurement and Motion Correction in FLIP Image Sequences

机译:FLIP图像序列中的全自动衰减测量和运动校正

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摘要

Fluorescence loss in photobleaching (FLIP) is a method to study compartment connectivity in living cells. A FLIP sequence is obtained by alternatively bleaching a spot in a cell and acquiring an image of the complete cell. Connectivity is estimated by comparing fluorescence signal attenuation in different cell parts. The measurements of the fluorescence attenuation are hampered by the low signal to noise ratio of the FLIP sequences, by sudden sample shifts and by sample drift. This paper describes a method that estimates the attenuation by modeling photobleaching as exponentially decaying signals. Sudden motion artifacts are minimized by registering the frames of a FLIP sequence to target frames based on the estimated model and by removing frames that contain deformations. Linear motion (sample drift) is reduced by minimizing the entropy of the estimated attenuation coefficients. Experiments on 16 in vivo FLIP sequences of muscle cells in Drosophila show that the proposed method results in fluorescence attenuations similar to the manually identified gold standard, but with standard deviations of approximately 50 times smaller. As a result of this higher precision, cell compartment edges and details such as cell nuclei become clearly discernible. The main value of this method is that it uses a model of the bleaching process to correct motion and that the model based fluorescence intensity and attenuation estimates can be interpreted easily. The proposed method is fully automatic, and runs in approximately one minute per sequence, making it suitable for unsupervised batch processing of large data series.
机译:光漂白(FLIP)中的荧光损失是研究活细胞中隔室连接性的一种方法。通过交替漂白细胞中的斑点并获取完整细胞的图像来获得FLIP序列。通过比较不同细胞部分的荧光信号衰减来估计连通性。 FLIP序列的低信噪比,突然的样本移动和样本漂移阻碍了荧光衰减的测量。本文介绍了一种通过将光漂白建模为指数衰减信号来估算衰减的方法。通过将FLIP序列的帧基于估计的模型注册到目标帧,并通过删除包含变形的帧,可以将突然的运动伪影最小化。通过最小化估计衰减系数的熵来减少线性运动(样本漂移)。对果蝇肌肉细胞的16种体内FLIP序列进行的实验表明,所提出的方法导致荧光衰减类似于手动识别的金标准,但标准偏差小了约50倍。由于这种更高的精度,细胞室的边缘和细节(例如细胞核)变得清晰可见。该方法的主要价值在于它使用了漂白过程的模型来校正运动,并且可以轻松地解释基于模型的荧光强度和衰减估计。所提出的方法是全自动的,并且每个序列大约需要一分钟运行,因此适用于大数据系列的无监督批处理。

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