This study shows the utility of the prostate cancer/DRG in vitro system to study specific mechanism of prostate cancer cell-nerve interaction. Moreover, these data suggest that perineural invasion mechanisms involve active and reciprocal interactions between carcinoma cells and adjacent nerve/ganglions in prostate cancer progression.

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Context.-Digital whole slide imaging is the anticipated future of anatomic pathology, where sign-out of glass slides will be replaced by scanned images. Whole slide imaging has been successfully used in surgical pathology, but its usefulness and clinical application have been limited in cytology for several reasons, including lack of availability of z-axis depth focusing and large file size. Recently, several systems have become available in the United States for whole slide imaging with z-axis technology.Objective.-To determine the accuracy and efficiency of whole slide imaging, as compared with traditional glass slides, for use in cervicovaginal diagnostic cytology.Design.-Eleven cervicovaginal cytology cases (ThinPrep and SurePath) scanned at 320, 340, and 340 z-stack magnifications using the BioImagene iScan Coreo Au 3.0 scanner were evaluated by 4 cytotechnologists and 3 pathologists in a blinded study. Different magnification scans were recorded as separate cases and presented in a randomized sequence. Corresponding glass slides were also reviewed. For each case, the diagnoses and total time to reach each diagnosis were recorded.Results.-Diagnostic accuracy was higher and average time per case was lower with glass slides as compared with all digital images. Among the digital images, the 340 or 340 z-stack had the highest diagnostic accuracy and lowest interpretation time.Conclusions.-Whole slide imaging is a viable option for the purposes of teaching and consultations, and as a means of archiving cases. However, considering the large file size and total time to reach diagnosis on digital images, whole slide imaging is not yet ready for daily cervicovaginal diagnostic cytology screening use.(Arch Pathol Lab Med. 2013;137:618-624; doi: 10.5858/ arpa.2012-0430-OA) D igital imaging is the creation, storage, and transmission of an image file using a computer and is considered by many to be the future of anatomic pathology. Most pathologists currently use some form of digital imaging, such as static images obtained by microscope-mounted optical cameras. Within the field of cytology, digital images are routinely being used for automated computer-assisted screening of Papanicolaou test slides, as well as for training and education. Proficiency testing is currently performed on glass slides, though the future use of digital slides is anticipated. The development of greater image quality and resolution within digital pathology has promoted the use of telepathology, including telecytology, which has been shown to be acceptable for both adequacy checks and rapid cytology diagnoses. [1][2][3][4] Other uses of digital imaging in pathology include image-enhanced reports, live imaging through robotic microscopy, 5 remote surgical frozen section review, 6,7 quality assurance testing, 3 and image cytometry/ analysis.Whole slide imaging (WSI), a subset of digital imaging, is the process of scanning an entire glass slide and converting the data into a high-resolution digital image that is viewed and manipulated on a computer....

Unicellular eukaryotes make up the base of the ocean food web and exist as a continuum in trophic strategy from pure heterotrophy (phagotrophic zooplankton) to pure photoautotrophy (‘phytoplankton'), with a dominance of mixotrophic organisms combining both strategies. Here we formulate a trait-based model for mixotrophy with three key resource-harvesting traits: photosynthesis, phagotrophy and inorganic nutrient uptake, which predicts the trophic strategy of species throughout the seasonal cycle. Assuming that simple carbohydrates from photosynthesis fuel respiration, and feeding primarily provides building blocks for growth, the model reproduces the observed light-dependent ingestion rates and species-specific growth rates with and without prey from the laboratory. The combination of traits yielding the highest growth rate suggests high investments in photosynthesis, and inorganic nutrient uptake in the spring and increased phagotrophy during the summer, reflecting general seasonal succession patterns of temperate waters. Our trait-based model presents a simple and general approach for the inclusion of mixotrophy, succession and evolution in ecosystem models.

Objective: To compare results of immunohistochemical (IHC) assays for estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) performed on thrombin, formalin and Cellient cell blocks to those performed on tissue. Study Design: Formalin, thrombin and Cellient cell blocks were prepared from cytologic samples obtained from resection specimens of 31 patients with invasive breast carcinoma. ER, PR, HER2 and MIB-1 (Ki-67) IHC stains were performed on all three types of cell blocks and compared to the same stains performed on the patient’s paraffin-embedded biopsy or resection. Cell and tissue blocks with equivocal staining for HER2 were submitted for fluorescence in situ hybridization (FISH). Results: Adequate Cellient blocks were obtained for all 31 cases. Comparison of results of ER IHC assays on all three types of cell blocks showed 100% correlation with tissue. Both Cellient and thrombin blocks showed 100% correlation with tissue for HER2 IHC and FISH results. The only statistically significant difference between cell block methods was found in PR staining, where false-negative results occurred with Cellient and thrombin blocks. Conclusion: Breast biomarker IHC assays performed on Cellient blocks are reliable and correlate with tissue block results, particularly for ER and HER2, the most clinically important markers.

Unicellular plankton employ trophic strategies ranging from pure photoautotrophs over mixotrophy to obligate heterotrophs (phagotrophs), with cell sizes from 10 to 1 μg C. A full understanding of how trophic strategy and cell size depend on resource environment and predation is lacking. To this end, we develop and calibrate a trait-based model for unicellular planktonic organisms characterized by four traits: cell size and investments in phototrophy, nutrient uptake, and phagotrophy. We use the model to predict how optimal trophic strategies depend on cell size under various environmental conditions, including seasonal succession. We identify two mixotrophic strategies: generalist mixotrophs investing in all three investment traits and obligate mixotrophs investing only in phototrophy and phagotrophy. We formulate two conjectures: (1) most cells are limited by organic carbon; however, small unicellulars are colimited by organic carbon and nutrients, and only large photoautotrophs and smaller mixotrophs are nutrient limited; (2) trophic strategy is bottom-up selected by the environment, while optimal size is top-down selected by predation. The focus on cell size and trophic strategies facilitates general insights into the strategies of a broad class of organisms in the size range from micrometers to millimeters that dominate the primary and secondary production of the world's oceans.

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A simple nutrient-phytoplankton model is proposed and analyzed in the presence of toxic chemicals released by toxin-producing phytoplankton (TPP) to understand the dynamics of seasonally recurring bloom phenomena. We observe that the presence of toxic chemicals helps to explain the bloom phenomenon. We have further studied our proposed system by varying the toxin liberation rate. Our model displays a wide range of dynamical behaviours, from simple cyclical blooms to irregular chaotic blooms. We also observe skipping phenomenon. The effect of toxic chemicals released by TPP cannot, thus, be ignored in 'bottom-up' models.