Zimmerman John E, Raizen David M, Maycock Matthew H, Maislin Greg, Pack Allan I
Center for Sleep and Respiratory Neurobiology, University of Pennsylvania School of Medicine, 125 South 31st ST, Suite 2100, Philadelphia, PA 19104-3403, USA.
Sleep. 2008 Nov;31(11):1587-98. doi: 10.1093/sleep/31.11.1587.
To use video to determine the accuracy of the infrared beam-splitting method for measuring sleep in Drosophila and to determine the effect of time of day, sex, genotype, and age on sleep measurements.
A digital image analysis method based on frame subtraction principle was developed to distinguish a quiescent from a moving fly. Data obtained using this method were compared with data obtained using the Drosophila Activity Monitoring System (DAMS). The location of the fly was identified based on its centroid location in the subtracted images.
The error associated with the identification of total sleep using DAMS ranged from 7% to 95% and depended on genotype, sex, age, and time of day. The degree of the total sleep error was dependent on genotype during the daytime (P < 0.001) and was dependent on age during both the daytime and the nighttime (P < 0.001 for both). The DAMS method overestimated sleep bout duration during both the day and night, and the degree of these errors was genotype dependent (P < 0.001). Brief movements that occur during sleep bouts can be accurately identified using video. Both video and DAMS detected a homeostatic response to sleep deprivation.
Video digital analysis is more accurate than DAMS in fly sleep measurements. In particular, conclusions drawn from DAMS measurements regarding daytime sleep and sleep architecture should be made with caution. Video analysis also permits the assessment of fly position and brief movements during sleep.
利用视频确定红外光束分离法测量果蝇睡眠的准确性，并确定一天中的时间、性别、基因型和年龄对睡眠测量的影响。
开发了一种基于帧减法原理的数字图像分析方法，以区分静止果蝇和活动果蝇。将使用该方法获得的数据与使用果蝇活动监测系统（DAMS）获得的数据进行比较。根据果蝇在相减图像中的质心位置确定其位置。
使用DAMS识别总睡眠时间的误差范围为7%至95%，并取决于基因型、性别、年龄和一天中的时间。白天总睡眠误差程度取决于基因型（P<0.001），白天和夜间均取决于年龄（两者均P<0.001）。DAMS方法在白天和夜间都高估了睡眠周期持续时间，这些误差程度取决于基因型（P<0.001）。睡眠周期中发生的短暂运动可以通过视频准确识别。视频和DAMS都检测到了对睡眠剥夺的稳态反应。
在果蝇睡眠测量中，视频数字分析比DAMS更准确。特别是，对于从DAMS测量得出的关于白天睡眠和睡眠结构的结论应谨慎得出。视频分析还允许评估果蝇在睡眠期间的位置和短暂运动。
