Distance Diagnostics through Digital Imaging DDDI Distance Diagnostics through Digital Imaging DDDI

2 What is DDDI? DDDI facilitates rapid and methodical communication between diagnostic experts and people with a need for accurate diagnosis of agricultural problems. DDDI is a web based system that allows images along with textual information to be submitted by users.

3 Benefits of DDDI “Real time” view of problems “Real time” view of problems Quicker diagnoses Quicker diagnoses Available from any computer with web access Available from any computer with web access Organized and searchable archive of submitted samples for later retrieval and for educational use Organized and searchable archive of submitted samples for later retrieval and for educational use

4 Benefits of DDDI (continued) Submitters learn to recognize many problems through the process Submitters learn to recognize many problems through the process Client information is stored in the system for easier entry and retrieval Client information is stored in the system for easier entry and retrieval Diagnosis and recommendations are presented in a form useful for reporting to clients Diagnosis and recommendations are presented in a form useful for reporting to clients

5 DDDI Components Submitters with web access and DDDI imaging equipment Submitters with web access and DDDI imaging equipment System specific forms for transfer of images and information System specific forms for transfer of images and information Diagnosticians with specific expertise Diagnosticians with specific expertise E- mail for rapid delivery of notification and diagnosis E- mail for rapid delivery of notification and diagnosis Imaging Station to capture images Imaging Station to capture images

6 Who supports DDDI? The Consortium for Internet Imaging and Database Systems (CIIDS). The Consortium for Internet Imaging and Database Systems (CIIDS). In the Office of Global Programs In the Office of Global Programs Under the College for Agricultural and Environmental Sciences (CAES). Under the College for Agricultural and Environmental Sciences (CAES).

7 The (original) Imaging Station

8 Components of Imaging Station Computer with internet; handheld digital camera; dissecting scope; compound scope; scope camera & adapter

9

10 Components of Imaging Station Computer with internet; handheld digital camera; dissecting scope; compound scope; scope camera & adapter

11 How does it work? A user is presented with an agricultural issue The user captures appropriate images using camera or microscope User supplies appropriate information using the DDDI website.

12 How does it work? (continued) Once information has been submitted, the DDDI system automatically selects the appropriate diagnostician, who is alerted by that a sample is waiting. Once information has been submitted, the DDDI system automatically selects the appropriate diagnostician, who is alerted by that a sample is waiting. Diagnostician evaluates that sample and provides diagnosis. An is sent to the user with sample diagnosis and comments. Diagnostician evaluates that sample and provides diagnosis. An is sent to the user with sample diagnosis and comments.

13 DDDI 1. Login

14 Available discipline forms 2. Choose Discipline.

15 All forms require client information, 3. Select Client.

16 but it may be inserted automatically from a list of existing clients,

17 and used in the current submission form.

Sample information includes text and images. All fields indicated in red are required. 5. At least one jpeg image must be attached. All images must have a description.

19 Uploading Images Motic microscope camera with Motic software. Hitachi microscope camera with WinTV software.

20 At the bottom of each form are fields for inserting images. All images must be accompanied by a description and SHOULD BE PREVIEWED BEFORE THE FORM IS SUBMITTED. CoastalPlainPines.jpg Pine Plantation

21 A completed Insect form might look like this... Client info Sample info Images Image descrip- tion Image preview Submit

22 When a sample form has successfully completed the submission process, a ‘success’ page will appear, with the sample number.

23 When a sample diagnosis/identification is submitted by a diagnostician, one with the diagnosis/ID is automatically sent to the submitter and another to the county from which the sample was submitted. The submission form with diagnosis, recommendation and comments is also archived for later review.

24 After a diagnostician logs in, if there are samples waiting diagnosis, they will be displayed on this opening page.

25 Clicking on the sample number will open the sample, with thumbnail images showing at the top. Larger images will be presented when clicking on a thumbnail.

26 An evaluation choice is offered. The sample can be diagnosed, or if an agent has chosen the wrong form (e.g. Insect ID instead of Forestry), then the sample can be forwarded to the appropriate diagnostician. If “outside” help is needed, sample information and images can be forwarded to such a source.

27 OTHER FEATURES These samples are archived for future reference These samples are archived for future reference Free text search of archived samples. Free text search of archived samples. Ability to broadcast to all system users Ability to broadcast to all system users Ability to access multimedia archive Ability to access multimedia archive

28 OTHER FEATURES (cont’d.) Outside consultation - If the diagnostician wants to consult another expert, even outside of the system, it is possible. Outside consultation - If the diagnostician wants to consult another expert, even outside of the system, it is possible. Samples can be automatically forwarded when diagnostician is unavailable. Samples can be automatically forwarded when diagnostician is unavailable. System is adaptable to specific needs of our partners. System is adaptable to specific needs of our partners.

29 Where to find support? The DDDI homepage ( The DDDI homepage (

30 Where to find support? (cont’d.) Online Tutorials Online Tutorials

31 Where to find support? (cont’d.) Contact Staff: –Jennifer Gose, Project Coordinator