Eaglexpress Air Charter Sdn Bhd was a charter airline with its headquarters in Selangor and base at Kuala Lumpur International Airport. The airline was a joint venture between private investors in Malaysia and South Korea, with 60%-40% holding it plans on specialising in Pilgrimage and Business charters as well as ACMI operations on behalf of other airlines; the company was set up in January 2012 and operated their first charter flight in February for a holiday group from South Korea to Malaysia, it was followed by Umra flights to Jeddah for a Malaysian Travel Agency under a six-month contract from March to mid September, flying Pilgrims from Malaysia, Southern Thailand and Indonesia. The airline hoped to have 8 aircraft by the end of 2012, which include Boeing 737-400/Boeing 737-800, up to 20 aircraft in the next 5 years, their first Hajj service to Jeddah took off 21 September 2012. Eaglexpress have 3 boeing 747-400 operates for Fly Nas. On 20 December, The Edge reports that Eaglexpress Air Service Permit has been revoked, it shall have no effect from 21 Dec 2016, according to a statement issued by Malaysian Aviation Commission.

The Eaglexpress fleet consisted of the following aircraft: 1 Airbus A330-200. It was returned to the lessor, Guggenheim Aviation Partners after being withdrawn from use on 7 June 2016. Official website

Digital pathology

Digital pathology is a sub-field of pathology that focuses on data management based on information generated from digitized specimen slides. Through the use of computer-based technology, digital pathology utilizes virtual microscopy. Glass slides are converted into digital slides that can be viewed, managed and analyzed on a computer monitor. With the practice of Whole-Slide Imaging, another name for virtual microscopy, the field of digital pathology is growing and has applications in diagnostic medicine, with the goal of achieving efficient and cheaper diagnoses and prediction of diseases; the roots of digital pathology go back to the 1960s, when first telepathology experiments took place. In the 1990s the principle of virtual microscopy appeared in several life science research areas. At the turn of the century the scientific community more and more agreed on the term ”digital pathology” to denote digitization efforts in pathology; however in 2000 the technical requirements were still a limited factor for a broad dissemination of digital pathology concepts.

Over the last 5 years this changed as new powerful and affordable scanner technology as well as mass / cloud storage technologies appeared on the market. The field of Radiology has undergone the digital transformation 15 years ago, not because radiology is more advanced, but there are fundamental differences between digital images in radiology and digital pathology: The image source in radiology is the patient, today in most cases the image is primarily captured in digital format. In pathology the scanning is done from preserved and processed specimens, for retrospective studies from slides stored in a biobank. Besides this difference in pre-analytics and metadata content, the required storage in digital pathology is two to three orders of magnitude higher than in radiology. However, the advantages anticipated through digital pathology are similar to those in radiology: Capability to transmit digital slides over distances which enables telepathology scenarios. Capability to access past specimen from the same patients and/or similar cases for comparison and review, with much less effort retrieving slides from the archive shelfs.

Capability to compare different areas of multiple slides with the help of a virtual microscope. Capability to annotate areas directly in the slide and share this for teaching and research. Digital pathology is today used for educational purposes in telepathology and teleconsultation as well as in research projects. Digital pathology allows to share and annotate slides in a much easier way and to download annotated lecture sets generates new opportunities for e-learning and knowledge sharing in pathology. Digital pathology in diagnostics is upcoming field. Digital slides are created from glass slides using specialized scanning machines. All high quality scans must be free of dust and other obstructions; these machines can be used to digitize slides and train computers in deep learning exercises, to preform pattern recognition-based tasks. Digital slides are accessible for viewing via a computer monitor and viewing software either locally or remotely via the Internet. Example: digital pathology tissue slide stained with Her2/neu biomarker used for diagnosis of breast cancer.

Digital slides are maintained in an information management system that allows for archival and intelligent retrieval. Digital slides are stored and delivered over the Internet or private networks, for viewing and consultation. Image analysis tools are used to derive objective quantification measures from digital slides. Image segmentation and classification algorithms are used to identify medically significant regions and objects on digital slides. Recent developments in machine learning using deep learning methods have emerged to make information hidden in integrated pathological data in arbitrarily high-dimensional spaces, both accessible and quantifiable. Thus, generating a novel source of information, not yet available to the expert and not exploited in current Digital Pathology settings. Digital pathology workflow is integrated into the institution's overall operational environment. Slide digitization is expected to reduce the number of routine, manually reviewed slides, maximizing workload efficiency.

Digital pathology allows internet information sharing for education, diagnostics and research. This may take the form of publicly available datasets or open source access to machine learning algorithms. Digital pathology has been approved by the FDA for primary diagnosis; the approval was based on a multi-center study of 1,992 cases in which whole-slide imaging was shown to be non-inferior to microscopy across a wide range of surgical pathology specimens, sample types and stains. While there are advantages to WSI when creating digital data from glass slides, when it comes to real-time telepathology applications, WSI is not a strong choice for discussion and collaboration between multiple remote pathologists. Furthermore, unlike digital radiology where the elimination of film made return on investment clear, the ROI on digital pathology equipment is less obvious; the strongest ROI justification includes improved quality of healthcare, increased efficiency for pathologists, reduced costs in handling glass slides.

Trained pathologists traditionally view. These tissue slides may be stained to highlight cellular structures; when slides are digitized, they are able to be shared through tele-pathology and are numerically analyzed using computer algorithms. Algorithms can be used to automate the manual