2014
DOI: 10.1111/jmi.12116
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Motion compensation for in vivo subcellular optical microscopy

Abstract: In this review we focus on the impact of tissue motion on attempting to conduct sub-cellular resolution optical microscopy, in vivo. Our position is that tissue motion is one of the major barriers to conducting these studies along with light induced damage, optical probe loading as well as absorbance and scattering effects on the excitation point spread function and collection of emitted light. Recent developments in the speed of image acquisition have reached the limit, in most cases, where the signal from a … Show more

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Cited by 4 publications
(4 citation statements)
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References 24 publications
(31 reference statements)
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“…12 With advances in optical imaging technology, the in vivo imaging of live cells and tissues has become possible. Confocal microscopy and multiphoton microscopy have been applied to in vivo imaging and provide 3D morphological information.…”
Section: Introductionmentioning
confidence: 99%
“…12 With advances in optical imaging technology, the in vivo imaging of live cells and tissues has become possible. Confocal microscopy and multiphoton microscopy have been applied to in vivo imaging and provide 3D morphological information.…”
Section: Introductionmentioning
confidence: 99%
“…Automated bioimage analysis typically requires executing an intricate series of operations, which may involve image restoration [10] , [11] , [12] and registration [13] , [14] , [15] , object detection [16] , [17] , [18] , segmentation [17] , [19] , [20] , and tracking [21] , [22] , [23] , as well as downstream image or object classification [24] , [25] , [26] , quantification [27] , [28] , [29] , and visualization [30] , [31] , [32] . As attested by the just cited reviews and evaluations, a plethora of methods and tools have been developed for this purpose in the first half a century of computational bioimage analysis, based on what may now be considered traditional image processing and computer vision paradigms.…”
Section: Introductionmentioning
confidence: 99%
“…The latter is especially challenging in living animals, because – regardless of their location in the body – all organs are inherently subjected to disturbances caused by various physiological processes, such as the heartbeat, respiratory cycles, vascular tone or peristalsis. These disturbances inevitably cause motion artefacts that corrupt frames and must be eliminated or compensated to properly and accurately analyze data (Lucotte & Balaban, 2014; Vinegoni et al ., 2014). Researchers have recently begun devoting considerable effort into limiting the burden of motion artefacts.…”
Section: Introductionmentioning
confidence: 99%