Vivekananda Katakam Internet-Draft May 8, 2020 Intended Status: Informational Expires: 31 October 2020 REM Remote Electron Microscopy draft-katakam-rem-00 Compute Resources for Remote Electron Microscopy Abstract This RFC document envisages the need and necessity in utilizing or extending the compute resource technologies in such as networking(NW), remote computing(RC),cloud computing(CC),distributed computing(DC), Machine Learning(ML) and other related fields of AI to the biological field of electron microscopy(EC) for use in rapid and timely identification or diagnosis of virological/bacterial elements in clinical samples in the current world scenario, within the given time frame irrespective of the place of origin and with having geographical presence. Electron microscopy (EM) is a pioneering methodology used in identification and diagnosing of viral and microbiological elements. It is able to identify in morphological form the tiniest of the viruses in minimum amount of time by clinical scientists. Status of This Memo This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79. Internet-Drafts are working documents of the Internet Engineering Task Force (IETF). Note that other groups may also distribute working documents as Internet-Drafts. The list of current Internet-Drafts is at http://datatracker.ietf.org/drafts/current/. Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress." Copyright Notice Copyright (c) 2020 IETF Trust and the persons identified as the document authors. All rights reserved. This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents (http://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Simplified BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Simplified BSD License. Problem Statement In the current world scenario, rapid diagnosis and effective identification of clinical samples, especially in identification of virological elements, has become a challenge due to various factors such as lack of equipment, instruments, infrastructure, expertise, scientific know-how, experienced staff along with other factors such as time factor, cost factor, diagnostic reports being error prone and above all lack of such facilities in almost all developing countries. Expected Solution In the proposed solution, we have local screening center fully connected remotely using networking and remote computing technologies with the remote center. The remote screening center (RSC) is fully equipped with Electron microscopy and expert staff who will be able to view and analyze the images of the clinical samples remotely and provide the diagnostic results to the local screening center (LSC) within the given time frame. The remote screening center may be optionally having advanced compute facilities such as distributed computing (DC), Machine Learning (ML) Image Recognition (IR) and other related fields of AI. In this scenario, one or more local screening centers can be connected to one or more Remote Screening centers depending on the usage. Terminology EM - Electron Microscopy, AI - Artificial Intelligence, ML - Machine Learning, DC - Distributed computing, RC - Remote Computing, LC - Local screening Centers, RSC - Remote screening Centers,Image Recognition(IR),Networking (NW) References Informative References 1.J Schramlova, Dagmar Hulínska and Simona Arientova: The Role of Electron Microscopy in the Rapid Diagnosis of Viral Infections-Review 2.Cynthia S. Goldsmith, Sara E. Miller - Modern Uses of Electron Microscopy for Detection of Viruses Author's Address Vivekananda Katakam Plot No. 14, SRNagar, Hyderabad-500038 India Email : vivek1717@gmail.com Cell : +91 9885696770