Protein linkage to CNT-PLGA conjugates.

<p>(A) Infra-red spectrum (B) light microscopy of CNT-PLGA-BSA (C) fluorescent images of CNT-PLGA-fBSA. Results show that protein has been successfully attached to CNT-PLGA complex, forming CNT-PLGA-BSA conjugates.</p

Pristine carbon nanotubes prior to conjugation.

<p>TEM image of CNTs. The results show that CNTs have no outer coating prior to PLGA and protein conjugation.</p

Schematic representation of CNT-PLGA conjugate fabrication and intercellular delivery.

<p>CNTs are carboxylated, coated with PLGA, and functionalized with caspase-3. The conjugates are able to penetrate into MG-63 cells and release caspase-3 through the degradation of PLGA.</p

Carbon nanotubes have the ability to penetrate cells and release caspase-3.

<p>Cell viability on day 1 (A) and day 3 (B) of MG-63 cells under exposure to differing dosages of CNTs, CNT-PLGA, CNT-PLGA-BSA, caspase-3, Pro-Ject and CNT-PLGA-CP3 treatment. * means significant difference of cell viability under CNT-PLGA-CP3 cojugate exposure and other groups of same dosage. </p

Penetration of CNT-PLGA-proteins into the cells.

<p>Determination of CNTs delivered into osteosarcoma cells. Dosage is 3 μg/ml. (A) Osteosarcoma cells cultured with CNT-PLGA-fBSA (B) Image of fluorescent signal within osteosarcoma cells (C) Optic and fluorescent combined image of CNT-PLGA-fBSA image (D) TEM image of a single CNT-PLGA-BSA penetrating the cell body. </p

Representatives of colony formations, for the heatmap of Fig 4, for each cell line that is fixed one a specific date.

<p>The scale bar is 10 microns.</p

Comparison of BioSig3D with other systems.

<p>Comparison of BioSig3D with other systems.</p

CBP outperforms other methods in nuclear segmentation.

<p>CBP outperforms other methods in nuclear segmentation.</p

Architecture of BioSig3D is based on open source components Apache Tomcat, OME Image Server, ParaviewWeb from Kitware, and PostgreSQL database.

<p>Architecture of BioSig3D is based on open source components Apache Tomcat, OME Image Server, ParaviewWeb from Kitware, and PostgreSQL database.</p

Population analysis for the heatmap of Fig 4 indicates stability of computed indices.

<p>In some cases, flatness of colony is referred to as “Indian file pattern” in clinical pathology.</p