Poland Simon P, Erdogan Ahmet T, Krstajić Nikola, Levitt James, Devauges Viviane, Walker Richard J, Li David Day-Uei, Ameer-Beg Simon M, Henderson Robert K
Opt Express. 2016 Apr 4;24(7):6899-915. doi: 10.1364/OE.24.006899.
We demonstrate an implementation of a centre-of-mass method (CMM) incorporating background subtraction for use in multifocal fluorescence lifetime imaging microscopy to accurately determine fluorescence lifetime in live cell imaging using the Megaframe camera. The inclusion of background subtraction solves one of the major issues associated with centre-of-mass approaches, namely the sensitivity of the algorithm to background signal. The algorithm, which is predominantly implemented in hardware, provides real-time lifetime output and allows the user to effectively condense large amounts of photon data. Instead of requiring the transfer of thousands of photon arrival times, the lifetime is simply represented by one value which allows the system to collect data up to limit of pulse pile-up without any limitations on data transfer rates. In order to evaluate the performance of this new CMM algorithm with existing techniques (i.e. rapid lifetime determination and Levenburg-Marquardt), we imaged live MCF-7 human breast carcinoma cells transiently transfected with FRET standards. We show that, it offers significant advantages in terms of lifetime accuracy and insensitivity to variability in dark count rate (DCR) between Megaframe camera pixels. Unlike other algorithms no prior knowledge of the expected lifetime is required to perform lifetime determination. The ability of this technique to provide real-time lifetime readout makes it extremely useful for a number of applications.
我们展示了一种质心法(CMM)的实现方式,该方法结合了背景减法,用于多焦点荧光寿命成像显微镜,以使用Megaframe相机在活细胞成像中准确测定荧光寿命。背景减法的加入解决了与质心方法相关的一个主要问题,即算法对背景信号的敏感性。该算法主要在硬件中实现,提供实时寿命输出,并允许用户有效地压缩大量光子数据。寿命不是通过传输数千个光子到达时间来确定,而是简单地由一个值表示,这使得系统能够在不限制数据传输速率的情况下,收集直到脉冲堆积极限的光子数据。为了用现有技术(即快速寿命测定和Levenburg-Marquardt)评估这种新的CMM算法的性能,我们对瞬时转染了FRET标准的活MCF-7人乳腺癌细胞进行了成像。我们表明,该算法在寿命准确性以及对Megaframe相机像素间暗计数率(DCR)变化的不敏感性方面具有显著优势。与其他算法不同,进行寿命测定不需要预先知道预期寿命。这种技术能够提供实时寿命读数,使其在许多应用中非常有用。