This document discusses a ring simulator software for predicting outcomes of intracorneal ring segment (ICRS) treatments. The software aims to improve predictability by simulating topographic results. It was developed over 2 years using a refractive and topographic database of past ICRS patients. The simulator allows users to enter a pre-op case and choose similar past cases for simulation. It integrates a nomogram but can suggest alternatives. Examples show simulated post-op maps closely match real results 95% of time when a similar prior case is selected. The developer concludes it is a valuable tool but the database needs expanding through multicenter evaluation to increase reliability.
When to Use a Measuring Microscope: And How to Further Enhance its CapabilitiesOlympus IMS
In this presentation, we review two specific situations that benefit most from a measuring microscope. In addition, we review how key features of a measuring microscope can add more capabilities to these applications.
The first situation is one requiring high-accuracy measurements. The second is one that requires accurate measurements across larger distances.
With features including sub-micron precision, simple operation, and customization options, there are many ways to further enhance the performance of a measuring microscope.
For more information about Olympus measuring microscopes, visit: http://www.olympus-ims.com/en/metrology/stm/
Eye tracking and its economic feasibilityJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how the economic feasibility of eye tracking technology is becoming better through improvements in infrared LEDs, micro-projectors, image sensors, and microprocessors. The capability to track an eye’s movement can help us better identify tired drivers and equipment operators, understand the eye movements of retail shoppers, and develop better human-computer interfaces. Tired drivers and machine operators lead to accidents and these accidents lead to loss of human life and equipment damage. Retailers would like to better understand the eye movements of their customers in order to better design retail stores. Eye trackers would enable one type of human-computer interface, Google Glasses, to understand the information that users are viewing and thus what they want to access
Eye tracking is done with a combination of infrared LEDs, micro-projectors, image sensors, and microprocessors. All of these components are experiencing rapid improvements in cost and performance as feature sizes are made smaller and the number of transistors are increased. Improvements in image sensors have led to higher accuracy and precision where precision refers to consistency. Much of these improvements have come from higher pixel densities and sampling frequencies of the image sensors; the latter enables tracking even when there are head movements.
These improvements have also led to lower costs and cost reductions continue to occur. The cost of high-end eye tracking systems have dropped from about 30,000 USD in 2000 to 18,000 in 2010 and 5,000 in 2013. Further reductions will occur as Moore’s Law continues and as higher volumes enable lower margins.
When to Use a Measuring Microscope: And How to Further Enhance its CapabilitiesOlympus IMS
In this presentation, we review two specific situations that benefit most from a measuring microscope. In addition, we review how key features of a measuring microscope can add more capabilities to these applications.
The first situation is one requiring high-accuracy measurements. The second is one that requires accurate measurements across larger distances.
With features including sub-micron precision, simple operation, and customization options, there are many ways to further enhance the performance of a measuring microscope.
For more information about Olympus measuring microscopes, visit: http://www.olympus-ims.com/en/metrology/stm/
Eye tracking and its economic feasibilityJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how the economic feasibility of eye tracking technology is becoming better through improvements in infrared LEDs, micro-projectors, image sensors, and microprocessors. The capability to track an eye’s movement can help us better identify tired drivers and equipment operators, understand the eye movements of retail shoppers, and develop better human-computer interfaces. Tired drivers and machine operators lead to accidents and these accidents lead to loss of human life and equipment damage. Retailers would like to better understand the eye movements of their customers in order to better design retail stores. Eye trackers would enable one type of human-computer interface, Google Glasses, to understand the information that users are viewing and thus what they want to access
Eye tracking is done with a combination of infrared LEDs, micro-projectors, image sensors, and microprocessors. All of these components are experiencing rapid improvements in cost and performance as feature sizes are made smaller and the number of transistors are increased. Improvements in image sensors have led to higher accuracy and precision where precision refers to consistency. Much of these improvements have come from higher pixel densities and sampling frequencies of the image sensors; the latter enables tracking even when there are head movements.
These improvements have also led to lower costs and cost reductions continue to occur. The cost of high-end eye tracking systems have dropped from about 30,000 USD in 2000 to 18,000 in 2010 and 5,000 in 2013. Further reductions will occur as Moore’s Law continues and as higher volumes enable lower margins.
The Virtual Dimension Center (VDC) Fellbach has compiled the state of the art as well as the market situation and areas of application of the technology field "Eye Tracking" and put it together in a whitepaper.
Final Year IEEE Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE Projects, Academic Final Year IEEE Projects 2013, Academic Final Year IEEE Projects 2014, IEEE MATLAB Projects, 2013 IEEE MATLAB Projects, 2013 IEEE MATLAB Projects in Chennai, 2013 IEEE MATLAB Projects in Trichy, 2013 IEEE MATLAB Projects in Karur, 2013 IEEE MATLAB Projects in Erode, 2013 IEEE MATLAB Projects in Madurai, 2013 IEEE MATLAB Projects in Salem, 2013 IEEE MATLAB Projects in Coimbatore, 2013 IEEE MATLAB Projects in Tirupur, 2013 IEEE MATLAB Projects in Bangalore, 2013 IEEE MATLAB Projects in Hydrabad, 2013 IEEE MATLAB Projects in Kerala, 2013 IEEE MATLAB Projects in Namakkal, IEEE MATLAB Image Processing, IEEE MATLAB Face Recognition, IEEE MATLAB Face Detection, IEEE MATLAB Brain Tumour, IEEE MATLAB Iris Recognition, IEEE MATLAB Image Segmentation, Final Year Matlab Projects in Pondichery, Final Year Matlab Projects in Tamilnadu, Final Year Matlab Projects in Chennai, Final Year Matlab Projects in Trichy, Final Year Matlab Projects in Erode, Final Year Matlab Projects in Karur, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Tirunelveli, Final Year Matlab Projects in Madurai, Final Year Matlab Projects in Salem, Final Year Matlab Projects in Tirupur, Final Year Matlab Projects in Namakkal, Final Year Matlab Projects in Tanjore, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Bangalore, Final Year Matlab Projects in Hydrabad, Final Year Matlab Projects in Kerala.
Final Year IEEE Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE Projects, Academic Final Year IEEE Projects 2013, Academic Final Year IEEE Projects 2014, IEEE MATLAB Projects, 2013 IEEE MATLAB Projects, 2013 IEEE MATLAB Projects in Chennai, 2013 IEEE MATLAB Projects in Trichy, 2013 IEEE MATLAB Projects in Karur, 2013 IEEE MATLAB Projects in Erode, 2013 IEEE MATLAB Projects in Madurai, 2013 IEEE MATLAB Projects in Salem, 2013 IEEE MATLAB Projects in Coimbatore, 2013 IEEE MATLAB Projects in Tirupur, 2013 IEEE MATLAB Projects in Bangalore, 2013 IEEE MATLAB Projects in Hydrabad, 2013 IEEE MATLAB Projects in Kerala, 2013 IEEE MATLAB Projects in Namakkal, IEEE MATLAB Image Processing, IEEE MATLAB Face Recognition, IEEE MATLAB Face Detection, IEEE MATLAB Brain Tumour, IEEE MATLAB Iris Recognition, IEEE MATLAB Image Segmentation, Final Year Matlab Projects in Pondichery, Final Year Matlab Projects in Tamilnadu, Final Year Matlab Projects in Chennai, Final Year Matlab Projects in Trichy, Final Year Matlab Projects in Erode, Final Year Matlab Projects in Karur, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Tirunelveli, Final Year Matlab Projects in Madurai, Final Year Matlab Projects in Salem, Final Year Matlab Projects in Tirupur, Final Year Matlab Projects in Namakkal, Final Year Matlab Projects in Tanjore, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Bangalore, Final Year Matlab Projects in Hydrabad, Final Year Matlab Projects in Kerala.
Eye monitored wheel chair control for people suffering from quadriplegiaAkshay Sharma
The number of persons who are paralyzed and therefore dependent on others due to loss of self-mobility is growing with the population. The development of the wheelchair for paralyzed users is surprisingly recent starting with the conventional manually powered wheelchairs and advancing to electrical wheelchairs. Conventional wheelchair use tends to focus exclusively on manual use which use which assumes users still able to use their hands which excludes those unable to do so. Diseases or accidents injuring the nervous system also frequently because people lose their ability to move their voluntary muscle. Because voluntary muscle is the main actuator enabling people to move their body, paralysis may cause a person not move their locomotor organ such as arm, leg and others. Paralysis may be local, global, or follow specific patterns. Most paralysis are constant, however there are other forms such as periodic paralysis (caused by genetic diseases), caused by various other factors.
Scientist Stephen W. Hawking is perhaps the most well-known victim of major paralysis – Hawking was diagnosed with incurable Amyotrophic Lateral Sclerosis (ALS) in 1962, thereafter using a wheelchair to move. Many of those suffering close to or complete paralysis usually however still can control their eye movement which inspired us to develop an eye-controlled electric wheelchair.
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.for more details please visit
www.indiandentalacademy.com
Nowadays crowd analysis, essential factor about decision management of brand strategy, is not a controllable field by individuals. Therefore a technology, software products is needed. In this paper we focused on what we have done about crowd analysis and examination the problem of human detection with fish-eye lenses cameras. In order to identify human density, one of the machine learning algorithm, which is Haar Classification algorithm, is used to distinguish human body under different conditions. First, motion analysis is used to search for meaningful data, and then the desired object is detected by the trained classifier. Significant data has been sent to the end user via socket programming and human density analysis is presented.
Nowadays crowd analysis, essential factor about decision management of brand strategy, is not a
controllable field by individuals. Therefore a technology, software products is needed. In this paper we
focused on what we have done about crowd analysis and examination the problem of human detection with
fish-eye lenses cameras. In order to identify human density, one of the machine learning algorithm, which
is Haar Classification algorithm, is used to distinguish human body under different conditions. First,
motion analysis is used to search for meaningful data, and then the desired object is detected by the trained
classifier. Significant data has been sent to the end user via socket programming and human density
analysis is presented.
The Virtual Dimension Center (VDC) Fellbach has compiled the state of the art as well as the market situation and areas of application of the technology field "Eye Tracking" and put it together in a whitepaper.
Final Year IEEE Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE Projects, Academic Final Year IEEE Projects 2013, Academic Final Year IEEE Projects 2014, IEEE MATLAB Projects, 2013 IEEE MATLAB Projects, 2013 IEEE MATLAB Projects in Chennai, 2013 IEEE MATLAB Projects in Trichy, 2013 IEEE MATLAB Projects in Karur, 2013 IEEE MATLAB Projects in Erode, 2013 IEEE MATLAB Projects in Madurai, 2013 IEEE MATLAB Projects in Salem, 2013 IEEE MATLAB Projects in Coimbatore, 2013 IEEE MATLAB Projects in Tirupur, 2013 IEEE MATLAB Projects in Bangalore, 2013 IEEE MATLAB Projects in Hydrabad, 2013 IEEE MATLAB Projects in Kerala, 2013 IEEE MATLAB Projects in Namakkal, IEEE MATLAB Image Processing, IEEE MATLAB Face Recognition, IEEE MATLAB Face Detection, IEEE MATLAB Brain Tumour, IEEE MATLAB Iris Recognition, IEEE MATLAB Image Segmentation, Final Year Matlab Projects in Pondichery, Final Year Matlab Projects in Tamilnadu, Final Year Matlab Projects in Chennai, Final Year Matlab Projects in Trichy, Final Year Matlab Projects in Erode, Final Year Matlab Projects in Karur, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Tirunelveli, Final Year Matlab Projects in Madurai, Final Year Matlab Projects in Salem, Final Year Matlab Projects in Tirupur, Final Year Matlab Projects in Namakkal, Final Year Matlab Projects in Tanjore, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Bangalore, Final Year Matlab Projects in Hydrabad, Final Year Matlab Projects in Kerala.
Final Year IEEE Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE Projects, Academic Final Year IEEE Projects 2013, Academic Final Year IEEE Projects 2014, IEEE MATLAB Projects, 2013 IEEE MATLAB Projects, 2013 IEEE MATLAB Projects in Chennai, 2013 IEEE MATLAB Projects in Trichy, 2013 IEEE MATLAB Projects in Karur, 2013 IEEE MATLAB Projects in Erode, 2013 IEEE MATLAB Projects in Madurai, 2013 IEEE MATLAB Projects in Salem, 2013 IEEE MATLAB Projects in Coimbatore, 2013 IEEE MATLAB Projects in Tirupur, 2013 IEEE MATLAB Projects in Bangalore, 2013 IEEE MATLAB Projects in Hydrabad, 2013 IEEE MATLAB Projects in Kerala, 2013 IEEE MATLAB Projects in Namakkal, IEEE MATLAB Image Processing, IEEE MATLAB Face Recognition, IEEE MATLAB Face Detection, IEEE MATLAB Brain Tumour, IEEE MATLAB Iris Recognition, IEEE MATLAB Image Segmentation, Final Year Matlab Projects in Pondichery, Final Year Matlab Projects in Tamilnadu, Final Year Matlab Projects in Chennai, Final Year Matlab Projects in Trichy, Final Year Matlab Projects in Erode, Final Year Matlab Projects in Karur, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Tirunelveli, Final Year Matlab Projects in Madurai, Final Year Matlab Projects in Salem, Final Year Matlab Projects in Tirupur, Final Year Matlab Projects in Namakkal, Final Year Matlab Projects in Tanjore, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Bangalore, Final Year Matlab Projects in Hydrabad, Final Year Matlab Projects in Kerala.
Eye monitored wheel chair control for people suffering from quadriplegiaAkshay Sharma
The number of persons who are paralyzed and therefore dependent on others due to loss of self-mobility is growing with the population. The development of the wheelchair for paralyzed users is surprisingly recent starting with the conventional manually powered wheelchairs and advancing to electrical wheelchairs. Conventional wheelchair use tends to focus exclusively on manual use which use which assumes users still able to use their hands which excludes those unable to do so. Diseases or accidents injuring the nervous system also frequently because people lose their ability to move their voluntary muscle. Because voluntary muscle is the main actuator enabling people to move their body, paralysis may cause a person not move their locomotor organ such as arm, leg and others. Paralysis may be local, global, or follow specific patterns. Most paralysis are constant, however there are other forms such as periodic paralysis (caused by genetic diseases), caused by various other factors.
Scientist Stephen W. Hawking is perhaps the most well-known victim of major paralysis – Hawking was diagnosed with incurable Amyotrophic Lateral Sclerosis (ALS) in 1962, thereafter using a wheelchair to move. Many of those suffering close to or complete paralysis usually however still can control their eye movement which inspired us to develop an eye-controlled electric wheelchair.
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.for more details please visit
www.indiandentalacademy.com
Nowadays crowd analysis, essential factor about decision management of brand strategy, is not a controllable field by individuals. Therefore a technology, software products is needed. In this paper we focused on what we have done about crowd analysis and examination the problem of human detection with fish-eye lenses cameras. In order to identify human density, one of the machine learning algorithm, which is Haar Classification algorithm, is used to distinguish human body under different conditions. First, motion analysis is used to search for meaningful data, and then the desired object is detected by the trained classifier. Significant data has been sent to the end user via socket programming and human density analysis is presented.
Nowadays crowd analysis, essential factor about decision management of brand strategy, is not a
controllable field by individuals. Therefore a technology, software products is needed. In this paper we
focused on what we have done about crowd analysis and examination the problem of human detection with
fish-eye lenses cameras. In order to identify human density, one of the machine learning algorithm, which
is Haar Classification algorithm, is used to distinguish human body under different conditions. First,
motion analysis is used to search for meaningful data, and then the desired object is detected by the trained
classifier. Significant data has been sent to the end user via socket programming and human density
analysis is presented.
Dr. Coşkunseven "Combination of Keraring and Toric phakic implantable collame...Mediphacos
Dr. Dr. Coşkunseven presentation at the Total Keratoconus Solution user meeting organized by Mediphacos:
"Combination of Keraring and Toric phakic implantable collamer lens for keratoconus"
2014 ESCRS, London
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. Introduction
Predicting the post-op results of ICRS is every
corneal surgeon’s dream.
Our objective: improving the predictibility of
the results using topographic simulations of
ICRS treatment.
3. Ring simulator :Problematic
The miss understanding of mecanism of
action of different ring models.
The unpredictibility of the results: the
corneal reaction is different from case to
case.
«the Surprise effect »
4. How to get started ?
In the very begining we have tried to calculate
the average Wrong channel
effect of each ring to make
simulations
the corneal response to the ring differs from one
cornea to an other and basicly dépends on 2 reasons:
- Cornel factors: K, Pachy,age .. Ect
- Extra-corneal factors : related to the surgery
channel: centering ,depth ,diameter and width …..ect .
5. The solution ?
Conceive an expert software.
Topographic module based on experience.
« An expert sofware»
Using a refractive and topographic database of
treated patients .
nothing is worth the experience of an eye
to find out about another with similar
characteristics
6. The adventure of Ring smulator
started in 2011
The big companies did not see any
financial interest « few users »
We decided to develop this software alone
with local engineers.
It took us 2 years of research.
14. Ring simulators: the principles
Universal software :Adaptable to almost all
topographers .
Digitizing and interpreting the database using
the colour scale.
the software automatically detects the
majority of the topographers scale.
15. Ring simulators: the principles
Smart software Using a database of
treated cases .
The more the database is important, the
more performing it will be.
It integrates the Keraring nomogram
along with more suggestions and advice.
16. Exemple 1 :KK stade 3/ K max 53D
Ref: Myopie: 3D / Cyl: 5D
Keraring SI6 :6mm 300μm/ 150°
17. Exemple 1 :KK stade 3/ K max 53D
Ref: Myopie: 3D / Cyl: 5D
Keraring SI5 :5mm 300μm/ 160°
REAL POST-OP TOPO
TOPO POST OP SIMULATED
18. Exemple 2 :KK stade 2/ K max 49D
Ref: Myopie: 1 / Cyl: 3.5D
Keraring SI6 :6mm 200μm/ 150°
TOPO POST OP REELLE
TOPO POST OP SIMULATED
19. Exemple 3 :KK stade 3/ K max 57D
Ref: Myopie: 7D / Cyl: 9D
Keraring SI5 5mm 160° 300μm / 120° 250μm
TOPO POST OP REELLE
TOPO POST OP SIMULATED
20. Exemple 4 :KK stade 3/ K max 55D
Ref: Myopie: 1D / Cyl: 8D
Keraring 2X SI6 6mm 150° 300μm
TOPO POST OP REELLE
TOPO POST OP SIMULATED
21. Conclusion
Ring simulator
It’s a valuable tool in the choice of the indication
.
In my practice it allows :
- to choose the adapted ring models
- the best axes
The simulated topographies are very close to the
real post op topographies in 95% of cases on the
condition to choose a similar case.
22. Conclusion
Ring simulator
The need to enlarge the database
with a greater number of cases to
increase reliability.
Multicentric evaluation is needed to
validate this software.