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| |field_cs_subject_areas=biology/medicine/neuroscience | | |field_cs_subject_areas=biology/medicine/neuroscience |
| |field_fields_of_science=health, medicine, oncology | | |field_fields_of_science=health, medicine, oncology |
| |field_project_description=Crowdsourced analysis of cancerous tissue | | |field_project_description=Crowdsourced analysis of cancerous tissue: using images from Cancer Research UK volunteers help to classify archived cancer samples. |
| |field_purpose_of_project=This project is a first of its kind for Cancer Research UK. It will change the face of cancer research. We’re fighting for a world where no one’s life will be cut short by cancer . . . and there is real hope. Each year, our scientists get closer to finding cures for cancers – whether through targeted treatments or earlier detection. We are on the brink of major breakthroughs and by simply giving a few minutes of your time you will become part of a collaborative collective force that will to dramatically reduce the time needed to analyse our research data. | | |field_purpose_of_project=This project is a first of its kind for Cancer Research UK. It will change the face of cancer research. We’re fighting for a world where no one’s life will be cut short by cancer . . . and there is real hope. Each year, our scientists get closer to finding cures for cancers – whether through targeted treatments or earlier detection. We are on the brink of major breakthroughs and by simply giving a few minutes of your time you will become part of a collaborative collective force that will to dramatically reduce the time needed to analyse our research data. |
| |field_location_of_activities=Cancer Research UK's Cambridge Institute, University of Cambridge, UK | | |field_location_of_activities=Cancer Research UK's Cambridge Institute, University of Cambridge, UK |
Latest revision as of 16:40, 15 November 2013
Cs Portal > List of citizen science projects > Cell Slider - (2013/11/15)
THIS PAGE DESCRIBE A CITIZEN SCIENCE PROJECT
Start date : 2012/10/23
- Beta start date : N/A
- End date : Still open.
⇳ Description
Crowdsourced analysis of cancerous tissue: using images from Cancer Research UK volunteers help to classify archived cancer samples.
➠ Purpose
This project is a first of its kind for Cancer Research UK. It will change the face of cancer research. We’re fighting for a world where no one’s life will be cut short by cancer . . . and there is real hope. Each year, our scientists get closer to finding cures for cancers – whether through targeted treatments or earlier detection. We are on the brink of major breakthroughs and by simply giving a few minutes of your time you will become part of a collaborative collective force that will to dramatically reduce the time needed to analyse our research data.
? Research question
MAIN TEAM LOCATION
Loading map...
{"minzoom":false,"maxzoom":false,"mappingservice":"leaflet","width":"300px","height":"270px","centre":false,"title":"","label":"","icon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"zoom":false,"defzoom":14,"layers":["OpenStreetMap"],"image layers":[],"overlays":[],"resizable":false,"fullscreen":false,"scrollwheelzoom":true,"cluster":false,"clustermaxzoom":20,"clusterzoomonclick":true,"clustermaxradius":80,"clusterspiderfy":true,"geojson":"","clicktarget":"","imageLayers":[],"locations":[],"imageoverlays":null}
Cancer Research UK's Cambridge Institute, University of Cambridge, UK
CONTRIBUTION TYPE:
PARTICIPATION TYPOLOGY: crowdsourcing
GAMING GENRE NONE
GAMING ELEMENTS: NONE
◉ Tasks description
Analysis of images of cancerous tissue, more precisely, determining the number and type of cancerous cells.
⤯ Interaction with objects
▣ Interface
- Data type to manipulate: pictures
- interface enjoyment:
- Interface usability:
GUIDANCE
- Tutorial: ✓
- Peer to peer guidance: Somewhat
- Training sequence: Somewhat
FEEDBACK ON
- Individual performance: Somewhat
- Collective performance: Somewhat
- Research progress: Somewhat
❂ Feedback and guidance description
COMMUNITY TOOLS
- Communication:
- Social Network: N/A
- Member profiles:: detailed
- Member profile elements:
NEWS & EVENTS
- Main news site:
- Frequency of project news updates: N/A
- Type of events:
- Frequency of events :
⏣ Community description
- Community size (volounteers based)
- Role:
- Interaction form:
- Has official community manager(s): N/A
- Has team work N/A
- Other:
- Community led additions:
Other information
PROJECT
Url:http://www.cellslider.net/
Start date: 2012/10/23
End date: Still open
Infrastructure: Zooniverse
TEAM
Official team page:http://www.clicktocure.net/#/team
Leader:
Institution: Cancer Research UK
Main location: Cancer Research UK's Cambridge Institute, University of Cambridge, UK
PROJECT DEFINITION
Subject
Medical and health sciences > health, medicine, oncology (biology/medicine/neuroscience)
Description
Crowdsourced analysis of cancerous tissue: using images from Cancer Research UK volunteers help to classify archived cancer samples.
Purpose.
This project is a first of its kind for Cancer Research UK. It will change the face of cancer research. We’re fighting for a world where no one’s life will be cut short by cancer . . . and there is real hope. Each year, our scientists get closer to finding cures for cancers – whether through targeted treatments or earlier detection. We are on the brink of major breakthroughs and by simply giving a few minutes of your time you will become part of a collaborative collective force that will to dramatically reduce the time needed to analyse our research data.
.
ABOUT PARTICIPANT TASKS
Tasks description.
Analysis of images of cancerous tissue, more precisely, determining the number and type of cancerous cells.
.
| Grey typology |
Participation typology |
Contribution type: |
|
|
| Computing: |
NO |
Thinking: |
NO |
| Sensing: |
NO |
Gaming: |
NO |
|
|
|
| Crowdsourcing |
☑ |
Distributed intelligence |
☐ |
| Participatory science |
☐ |
Extreme citizen science |
☐ |
| Science outreach |
☐ |
| |
|
| Data collection |
☐ |
| Data analysis |
☐ |
| Data interpretation |
☐-------- |
|
| Gaming |
| Genre: |
Gaming elements: |
| Interface |
| Data type to manipulate: pictures |
interface enjoyment:
Interface usability: |
Member profiles::detailed
Member profile elements: |
ABOUT GUIDANCE AND FEEDBACK
| Guidance |
Feedback on |
| Tutorial and documentation: |
YES |
| Training sequence: |
SOMEWHAT |
| Peer to peer guidance: |
SOMEWHAT |
|
| individual performance: |
Somewhat |
| collective performance: |
Somewhat |
| research progress: |
Somewhat |
|
.
| Tools |
News & Events |
|
Communication:
Social Network: N/A
|
Main news site:
Frequency of project news updates: N/A
Type of events:
Frequency of events :
|
| Community description |
|
Community size (volounteers based):
Role:
Interaction form:
Has official community manager(s): N/A
Has team work N/A
|
Other information about community:
Community led additions:
OTHER PROJECT INFORMATION
Screen Shot 2013-11-15 at 14.44.18.png
Yes
[[has completion level::Low]
http://www.clicktocure.net/#/team
Cancer Research UK's Cambridge Institute, University of Cambridge, UK
Yes
health, medicine, oncology
Medical and health sciences
biology/medicine/neuroscience
This project is a first of its kind for Cancer Research UK. It will change the face of cancer research. We’re fighting for a world where no one’s life will be cut short by cancer . . . and there is real hope. Each year, our scientists get closer to finding cures for cancers – whether through targeted treatments or earlier detection. We are on the brink of major breakthroughs and by simply giving a few minutes of your time you will become part of a collaborative collective force that will to dramatically reduce the time needed to analyse our research data.
Cancer Research UK's Cambridge Institute, University of Cambridge, UK
Cell Slider
Analysis of images of cancerous tissue, more precisely, determining the number and type of cancerous cells.
crowdsourcing
pictures, other:
Thinking: no
Computing: no
Sensing: no
Gaming: no
yes
N/A
N/A
N/A
N/A
N/A
detailed
N/A
N/A
N/A
N/A
Low
Bibliography
