3D Reconstruction of Images Based on Embedded Processors

3D image reconstruction has very important value in reality. In this paper, based on embedded system, we use Marching Cubes algorithm to realize 3D image reconstruction and furthermore, display the result in web page. By introducing principle and whole process of reconstruction, we can prove that comparing with personal computer, this method has advantage of lower price, small volume, and has good prospect in future

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting

Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovation in this area, we setup a community-wide challenge using the largest available dataset of its kind to assess nuclear segmentation and cellular composition. Our challenge, named CoNIC, stimulated the development of reproducible algorithms for cellular recognition with real-time result inspection on public leaderboards. We conducted an extensive post-challenge analysis based on the top-performing models using 1,658 whole-slide images of colon tissue. With around 700 million detected nuclei per model, associated features were used for dysplasia grading and survival analysis, where we demonstrated that the challenge's improvement over the previous state-of-the-art led to significant boosts in downstream performance. Our findings also suggest that eosinophils and neutrophils play an important role in the tumour microevironment. We release challenge models and WSI-level results to foster the development of further methods for biomarker discovery

Ultrasound Biomicroscopy of Anterior Segment Accommodative Changes with Posterior Chamber Phakic Intraocular Lens in High Myopia

To investigate changes in anterior chamber depth (ACD) and the distance between the Visian implantable Collamer lens (ICL) and the crystalline lens during pharmacologic accommodation in high myopia. Prospective, comparative case series. Thirty-three phakic eyes of 18 high myopic patients (range, −8.63 to −23.86 diopters) with a mean age of 29 years (range, 20–44 years) were examined at least 1 year after ICL implantation. Ultrasound biomicroscopy was used to measure distance changes between the corneal endothelium, the ICL, and the crystalline lens after inducing pharmacologic accommodation with topical pilocarpine in 1 eye. The contralateral eye served as the control. Mean changes of ACD measured from the posterior corneal surface to the crystalline lens (ACD-L), from the posterior corneal surface to the anterior surface of the ICL (ACD-ICL), and the distance between the ICL and the crystalline lens (ICL-L) at the central and peripheral regions of the eye. For each eye, the ICL was in contact with the iris, but it was never in contact with the crystalline lens. At baseline, the mean distance between the ICL and the crystalline lens was 0.609±0.165 mm at the central horizontal meridian, 0.588±0.157 mm at the central vertical meridian, 0.281±0.106 mm at the peripheral temporal sulcus, and 0.290±0.098 mm at the peripheral nasal sulcus. After instillation of pilocarpine, a significant decrease in ICL-L was accompanied by a significant reduction in ACD-L and an increase in ACD-ICL (P0.05). The central ICL-L reduction in the study group was significantly larger than that in the control group (P0.05). During pharmacologic accommodation, the ICL and the crystalline lens came closer as the ICL was pushed backward by the iris as a result of pupillary constriction. Simultaneously, the anterior surface of the crystalline lens became more convex and moved forward. Reduction of the distances at peripheral sulci was not as obvious as at the center. The author(s) have no proprietary or commercial interest in any materials discussed in this article

Daytime variations of tear osmolarity and tear meniscus volume

OBJECTIVES: To determine the pattern of variations in tear osmolarity and tear meniscus volume in dry eye patients and in healthy control subjects over an 8-hour daytime period. METHODS: Ten normal subjects (5 males and 5 females with a mean age of 27 ± 7 yrs) and 10 dry eye patients (4 males and 6 females with a mean age of 36 ± 12 yrs) who had been diagnosed on the basis of having an ocular surface discomfort index (OSDI) >12 and a tear breakup time of < 10 seconds or Schirmer’s test score of < 5 mm were included. The tear meniscus volumes of the participants were measured using ultra-high resolution optical coherence tomography (OCT), and tear osmolarity was measured using the TearLab Osmolarity System. Both measurements protocols were conducted on the right eye of each participant every two hours beginning at 8:30AM and ending at 4:30PM. OCT imaging was performed first and was followed by osmolarity testing. RESULTS: The mean tear osmolarity of the dry eye patients was 304.0 ± 10.8 mOsm/L, and the mean tear osmolarity of the normal subjects was 298.0 ±14.2 mOsm/L (P > 0.05). Over the course of 8 hours, the average measured osmolarities of the dry eye group varied by approximately 21.9 ± 13.5 mOsm/L (range, 6–43 mOsm/L), and the average measured tear osmolarities of the normal group varied by approximately 21.0 ± 9.2 mOsm/L (range, 8–35 mOsm/L). At 2:30 PM, the average volume of the tear menisci in the dry eye group was significantly lower than that of the subjects in the normal group (P < 0.05). No correlations between the tear meniscus volumes and tear osmolarities of either group were observed. CONCLUSIONS: Variations in the tear osmolarities of individual dry eye patients and healthy normal control subjects were documented over the course of 8 daytime hours. No relationships between tear osmolarities and tear meniscus volumes were observed

Vertical and Horizontal Corneal Epithelial Thickness Profiles Determined by Ultrahigh Resolution Optical Coherence Tomography

PURPOSE: To measure vertical and horizontal thickness profiles of the central and peripheral corneal epithelium and determine if daytime changes occur. METHODS: Forty eyes of 20 normal subjects were imaged by ultra-high resolution spectral domain optical coherence tomography to profile the corneal epithelial thickness from the edge of Bowman’s layer to the central cornea across the vertical and horizontal meridians. Measurements were made at 10:00 AM and again at 6, 8 hours later. RESULTS: The baseline vertical meridional epithelial thickness was thinnest, 42.9±4.1 μm, at the edge of Bowman’s layer in the superior region. It increased in thickness (p<0.01), towards the central cornea. The central epithelium averaged 52.5±2.4 μm, becoming thickest, 55.2±2.5 μm, in the inferior pericentral region. It thinned towards the inferior periphery, reaching 51.3±5.1 μm at the edge of Bowman’s layer (p<0.01). Along the horizontal meridian, the epithelium was thickest at the nasal side, 58.6±5.1 μm, and temporal side, 59.3±6.6 μm, near the edges of Bowman’s layer. It thinned towards the central cornea. There were no significant changes in the epithelial thickness at any location over 8 hours. CONCLUSION: Epithelial thickness varied over the horizontal and vertical meridians and appeared stable during the daytime

Ultra-High Resolution Optical Coherence Tomography for Imaging the Anterior Segment of the Eye

Developments in optical coherence tomography (OCT) have expanded its clinical applications for ultra-high resolution imaging of the anterior segment of the human eye. This review presents the latest advances for imaging the anterior segment of the eye using ultra-high resolution OCT (UHR-OCT). Unique applications of UHR-OCT technology in clinical and basic scientific laboratory research are discussed and a summary of the results is provided. The authors focused on the use of UHR-OCT for imaging of tear dynamics, contact lens interactions with the corneal surface, and in vivo histological diagnosis of disorders of the cornea, as well as the future direction in this field

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting

International audienceNuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovation in this area, we setup a community-wide challenge using the largest available dataset of its kind to assess nuclear segmentation and cellular composition. Our challenge, named CoNIC, stimulated the development of reproducible algorithms for cellular recognition with real-time result inspection on public leaderboards. We conducted an extensive post-challenge analysis based on the top-performing models using 1,658 whole-slide images of colon tissue. With around 700 million detected nuclei per model, associated features were used for dysplasia grading and survival analysis, where we demonstrated that the challenge's improvement over the previous state-of-the-art led to significant boosts in downstream performance. Our findings also suggest that eosinophils and neutrophils play an important role in the tumour microevironment. We release challenge models and WSI-level results to foster the development of further methods for biomarker discovery