Bradley W. Rice

In vivo imaging of light-emitting probes

In vivo imaging of cells tagged with light-emitting probes, such as firefly luciferase or fluorescent proteins, is a powerful technology that enables a wide range of biological studies in small research animals. Reporters with emission in the red to infrared (>600 nm) are preferred due to the low absorption in tissue at these wavelengths. Modeling of photon diffusion through tissue indicates that bioluminescent cell counts as low as a few hundred can be detected subcutaneously, while approximately 10(6) cells are required to detect signals at approximately 2 cm depth in tissue. Signal-to-noise estimates show that cooled back-thinned integrating charge coupled devices (CCDs) are preferred to image-intensified CCDs for this application, mainly due to their high quantum efficiency (approximately 85%) at wavelengths >600 nm where tissue absorption is low. Instrumentation for in vivo imaging developed at Xenogen is described and several examples of images of mice with bioluminescent cells are presented.

Emission spectra of bioluminescent reporters and interaction with mammalian tissue determine the sensitivity of detection in vivo

In vivo bioluminescence imaging depends on light emitted by luciferases in the body overcoming the effect of tissue attenuation. Understanding this relationship is essential for detection and quantification of signal. We have studied four codon optimized luciferases with different emission spectra, including enzymes from firefly (FLuc), click beetle (CBGr68, CBRed) and Renilla reniformins (hRLuc). At 25 degrees C, the in vitro lambda(max) of these reporters are 578, 543, 615, and 480 nm, respectively; at body temperature, 37 degrees C, the brightness increases and the firefly enzyme demonstrates a 34-nm spectral red shift. Spectral shifts and attenuation due to tissue effects were evaluated using a series of 20-nm bandpass filters and a cooled charge-coupled device (CCD) camera. Attenuation increased and the spectra of emitted light was red shifted for signals originating from deeper within the body relative to superficial origins. The tissue attenuation of signals from CBGr68 and hRLuc was greater than from those of Fluc and CBRed. To further probe tissue effects, broad spectral emitters were created through gene fusions between CBGr68 and CBRed. These resulted in enzymes with broader emission spectra, featuring two peaks whose intensities are differentially affected by temperature and tissue depth. These spectral measurement data allow for improved understanding of how these reporters can be used in vivo and what they can reveal about biological processes in living subjects.

Three-dimensional reconstruction of in vivo bioluminescent sources based on multispectral imaging

A new method is described for obtaining a 3-D reconstruction of a bioluminescent light source distribution inside a living animal subject, from multispectral images of the surface light emission acquired on charge-coupled device (CCD) camera. The method uses the 3-D surface topography of the animal, which is obtained from a structured light illumination technique. The forward model of photon transport is based on the diffusion approximation in homogeneous tissue with a local planar boundary approximation for each mesh element, allowing rapid calculation of the forward Greens function kernel. Absorption and scattering properties of tissue are measured a priori as input to the algorithm. By using multispectral images, 3-D reconstructions of luminescent sources can be derived from images acquired from only a single view. As a demonstration, the reconstruction technique is applied to determine the location and brightness of a source embedded in a homogeneous phantom subject in the shape of a mouse. The technique is then evaluated with real mouse models in which calibrated sources are implanted at known locations within living tissue. Finally, reconstructions are demonstrated in a PC3M-luc (prostate tumor line) metastatic tumor model in nude mice.

Non-Invasive Detection of a Small Number of Bioluminescent Cancer Cells In Vivo

Early detection of tumors can significantly improve the outcome of tumor treatment. One of the most frequently asked questions in cancer imaging is how many cells can be detected non-invasively in a live animal. Although many factors limit such detection, increasing the light emission from cells is one of the most effective ways of overcoming these limitations. Here, we describe development and utilization of a lentiviral vector containing enhanced firefly luciferase (luc2) gene. The resulting single cell clones of the mouse mammary gland tumor (4T1-luc2) showed stable light emission in the range of 10,000 photons/sec/cell. In some cases individual 4T1-luc2 cells inserted under the skin of a nu/nu mouse could be detected non-invasively using a cooled CCD camera in some cases. In addition, we showed that only few cells are needed to develop tumors in these mice and tumor progression can be monitored right after the cells are implanted. Significantly higher luciferase activity in these cells allowed us to detect micrometastases in both, syngeneic Balb/c and nu/nu mice.

In-vivo fluorescence imaging with a multivariate curve resolution spectral unmixing technique

Spectral unmixing is a useful technique in fluorescence imaging for reducing the effects of native tissue autofluorescence and separating multiple fluorescence probes. While spectral unmixing methods are well established in fluorescence microscopy, they typically rely on precharacterized in-vitro spectra for each fluorophore. However, there are unique challenges for in-vivo applications, since the tissue absorption and scattering can have a significant impact on the measured spectrum of the fluorophore, and therefore make the in-vivo spectra substantially different to that of in vitro. In this work, we introduce a spectral unmixing algorithm tailored for in-vivo optical imaging that does not rely on precharacterized spectral libraries. It is derived from a multivariate curve resolution (MCR) method, which has been widely used in studies of chemometrics and gene expression. Given multispectral images and a few straightforward constraints such as non-negativity, the algorithm automatically finds the signal distribution and the pure spectrum of each component. Signal distribution maps help separate autofluorescence from other probes in the raw images and hence provide better quantification and localization for each probe. The algorithm is demonstrated with an extensive set of in-vivo experiments using near-infrared dyes and quantum dots in both epi-illumination and transillumination geometries.

Determination of depth of in vivo bioluminescent signals using spectral imaging techniques

A spectral imaging technique applied to in vivo bioluminescent imaging is presented that provides an estimate of the depth of bioluminescent reporters inside living animals. The model, based on the standard diffusion approximation of light propagating in a slab sample, is described in this paper. Validation experiments performed on phantom and tissue models, as well as preliminary in vivo mouse images, demonstrate the ability of spectral imaging to provide a correct estimate of depth based upon a single view imaging system.

In vivo Imaging of Bioluminescent and Fluorescent Reporters in Small Animal Models

An absolutely calibrated imaging system that can detect the steady-state emission from bioluminescent and fluorescent probes located inside small animals is described and techniques to improve in vivo detection sensitivity are explored.