Live optical projection tomography

Colas, Jean-François; Sharpe, James

doi:10.4161/org.5.4.10426

Cited by 46 publications

(30 citation statements)

References 42 publications

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“…The technique was originally termed optical projection tomography [14][15][16], and was first published as a technique capable of imaging cleared and fixed tissues, but was later also applied to microscopic samples in vivo [17][18][19][20]. Image formation is based on using mathematical models to reconstruct optical contrast within the medium being imaged, an approach capable of imaging fluorescence and absorption.…”

Section: Projection Tomographymentioning

confidence: 99%

Unleashing Optics and Optoacoustics for Developmental Biology

Ripoll

Koberstein-Schwarz

Ntziachristos

2015

Trends in Biotechnology

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Section: Projection Tomographymentioning

confidence: 99%

Unleashing Optics and Optoacoustics for Developmental Biology

Ripoll

Koberstein-Schwarz

Ntziachristos

2015

Trends in Biotechnology

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“…is the total scanning time, and is set to 1 s in all the simulation experiments. Let and denote the estimated values of the translation and rotation functions, respectively, then the relative mean translation excursion (rMTE) and the relative mean rotation excursion (rMRE) are defined as [38] (24) (25) It is clear that the above metrics are just suitable to evaluate the motion estimation results of simulation experiments in which the object motion is known beforehand. In a real experimental situation the object motion is unknown, thus other evaluating indicators should be introduced.…”

Section: Quantitative Evaluationmentioning

confidence: 99%

Automated Motion Correction for In Vivo Optical Projection Tomography

Zhu

Dong²,

Birk

et al. 2012

IEEE Trans. Med. Imaging

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Abstract-In in vivo optical projection tomography (OPT), object motion will significantly reduce the quality and resolution of the reconstructed image. Based on the well-known Helgason-Ludwig consistency condition (HLCC), we propose a novel method for motion correction in OPT under parallel beam illumination. The method estimates object motion from projection data directly and does not require any other additional information, which results in a straightforward implementation. We decompose object movement into translation and rotation, and discuss how to correct for both translation and general motion simultaneously. Since finding the center of rotation accurately is critical in OPT, we also point out that the system's geometrical offset can be considered as object translation and therefore also calibrated through the translation estimation method. In order to verify the algorithm effectiveness, both simulated and in vivo OPT experiments are performed. Our results demonstrate that the proposed approach is capable of decreasing movement artifacts significantly thus providing high quality reconstructed images in the presence of object motion.

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“…Maintaining tissue health for many hours in static culture remains a challenge, limiting the duration of biologically meaningful time-lapse data. Advances regarding in vitro culture techniques and 3D/4D imaging are a source of optimism for the future (Colas and Sharpe, 2009 (Winklbauer, 1990) in relation to limb bud morphogenesis remains unknown, as does the potential role of polarized cell behaviors in regulating other processes such as mesenchymal condensation. It is possible that the group of studies reviewed here is presaging the re-emergence of the limb as a important model for the study of morphogenetic mechanisms at the cellular and tissue level.…”

Section: Perspectives and Questions For The Futurementioning

confidence: 99%

Budding behaviors: Growth of the limb as a model of morphogenesis

Hopyan

Sharpe

Yang

2011

Developmental Dynamics

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Questions regarding morphogenesis have played second fiddle to those pertaining to pattern formation among the limb development set for some time. A recent series of publications has reinvigorated the search for mechanisms by which the limb bud arises, elongates and acquires its peculiar shape. While there are stage-specific variations, the theme that resonates across these studies is that mesoderm and cartilage cells in the limb bud exhibit polarity that drives directional movement and oriented division. Noncanonical Wnt signalling is important for these cell behaviors at all stages of limb development. While the emerging morphogenetic mechanisms underlying limb bud outgrowth are partly analogous to those of other developing structures, insights from the limb have the potential to reveal intriguing new mechanisms by which three dimensional mesoderm changes shape. Developmental Dynamics 240:1054-1062,

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Live optical projection tomography

Cited by 46 publications

References 42 publications

Unleashing Optics and Optoacoustics for Developmental Biology

Unleashing Optics and Optoacoustics for Developmental Biology

Automated Motion Correction for In Vivo Optical Projection Tomography

Budding behaviors: Growth of the limb as a model of morphogenesis

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