* jQuery Easing v1.3 - http://gsgd.co.uk/sandbox/jquery/easing/
*
* Uses the built in easing capabilities added In jQuery 1.1
* to offer multiple easing options
*
* TERMS OF USE - jQuery Easing
* 
* Open source under the BSD License. 
* 
* Copyright © 2008 George McGinley Smith
* All rights reserved.
* 
* Redistribution and use in source and binary forms, with or without modification, 
* are permitted provided that the following conditions are met:
* 
* Redistributions of source code must retain the above copyright notice, this list of 
* conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, this list 
* of conditions and the following disclaimer in the documentation and/or other materials 
* provided with the distribution.
* 
* Neither the name of the author nor the names of contributors may be used to endorse 
* or promote products derived from this software without specific prior written permission.
* 
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY 
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
*  COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
*  EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
*  GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED 
* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
*  NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED 
* OF THE POSSIBILITY OF SUCH DAMAGE. 
*

• /

// t: current time, b: begInnIng value, c: change In value, d: duration jQuery.easing['jswing'] = jQuery.easing['swing'];

jQuery.extend( jQuery.easing, { def: 'easeOutQuad', swing: function (x, t, b, c, d) { //alert(jQuery.easing.default); return jQuery.easing[jQuery.easing.def](x, t, b, c, d); }, easeInQuad: function (x, t, b, c, d) { return c*(t/=d)*t + b; }, easeOutQuad: function (x, t, b, c, d) { return -c *(t/=d)*(t-2) + b; }, easeInOutQuad: function (x, t, b, c, d) { if ((t/=d/2) < 1) return c/2*t*t + b; return -c/2 * ((--t)*(t-2) - 1) + b; }, easeInCubic: function (x, t, b, c, d) { return c*(t/=d)*t*t + b; }, easeOutCubic: function (x, t, b, c, d) { return c*((t=t/d-1)*t*t + 1) + b; }, easeInOutCubic: function (x, t, b, c, d) { if ((t/=d/2) < 1) return c/2*t*t*t + b; return c/2*((t-=2)*t*t + 2) + b; }, easeInQuart: function (x, t, b, c, d) { return c*(t/=d)*t*t*t + b; }, easeOutQuart: function (x, t, b, c, d) { return -c * ((t=t/d-1)*t*t*t - 1) + b; }, easeInOutQuart: function (x, t, b, c, d) { if ((t/=d/2) < 1) return c/2*t*t*t*t + b; return -c/2 * ((t-=2)*t*t*t - 2) + b; }, easeInQuint: function (x, t, b, c, d) { return c*(t/=d)*t*t*t*t + b; }, easeOutQuint: function (x, t, b, c, d) { return c*((t=t/d-1)*t*t*t*t + 1) + b; }, easeInOutQuint: function (x, t, b, c, d) { if ((t/=d/2) < 1) return c/2*t*t*t*t*t + b; return c/2*((t-=2)*t*t*t*t + 2) + b; }, easeInSine: function (x, t, b, c, d) { return -c * Math.cos(t/d * (Math.PI/2)) + c + b; }, easeOutSine: function (x, t, b, c, d) { return c * Math.sin(t/d * (Math.PI/2)) + b; }, easeInOutSine: function (x, t, b, c, d) { return -c/2 * (Math.cos(Math.PI*t/d) - 1) + b; }, easeInExpo: function (x, t, b, c, d) { return (t==0) ? b : c * Math.pow(2, 10 * (t/d - 1)) + b; }, easeOutExpo: function (x, t, b, c, d) { return (t==d) ? b+c : c * (-Math.pow(2, -10 * t/d) + 1) + b; }, easeInOutExpo: function (x, t, b, c, d) { if (t==0) return b; if (t==d) return b+c; if ((t/=d/2) < 1) return c/2 * Math.pow(2, 10 * (t - 1)) + b; return c/2 * (-Math.pow(2, -10 * --t) + 2) + b; }, easeInCirc: function (x, t, b, c, d) { return -c * (Math.sqrt(1 - (t/=d)*t) - 1) + b; }, easeOutCirc: function (x, t, b, c, d) { return c * Math.sqrt(1 - (t=t/d-1)*t) + b; }, easeInOutCirc: function (x, t, b, c, d) { if ((t/=d/2) < 1) return -c/2 * (Math.sqrt(1 - t*t) - 1) + b; return c/2 * (Math.sqrt(1 - (t-=2)*t) + 1) + b; }, easeInElastic: function (x, t, b, c, d) { var s=1.70158;var p=0;var a=c; if (t==0) return b; if ((t/=d)==1) return b+c; if (!p) p=d*.3; if (a < Math.abs(c)) { a=c; var s=p/4; } else var s = p/(2*Math.PI) * Math.asin (c/a); return -(a*Math.pow(2,10*(t-=1)) * Math.sin( (t*d-s)*(2*Math.PI)/p )) + b; }, easeOutElastic: function (x, t, b, c, d) { var s=1.70158;var p=0;var a=c; if (t==0) return b; if ((t/=d)==1) return b+c; if (!p) p=d*.3; if (a < Math.abs(c)) { a=c; var s=p/4; } else var s = p/(2*Math.PI) * Math.asin (c/a); return a*Math.pow(2,-10*t) * Math.sin( (t*d-s)*(2*Math.PI)/p ) + c + b; }, easeInOutElastic: function (x, t, b, c, d) { var s=1.70158;var p=0;var a=c; if (t==0) return b; if ((t/=d/2)==2) return b+c; if (!p) p=d*(.3*1.5); if (a < Math.abs(c)) { a=c; var s=p/4; } else var s = p/(2*Math.PI) * Math.asin (c/a); if (t < 1) return -.5*(a*Math.pow(2,10*(t-=1)) * Math.sin( (t*d-s)*(2*Math.PI)/p )) + b; return a*Math.pow(2,-10*(t-=1)) * Math.sin( (t*d-s)*(2*Math.PI)/p )*.5 + c + b; }, easeInBack: function (x, t, b, c, d, s) { if (s == undefined) s = 1.70158; return c*(t/=d)*t*((s+1)*t - s) + b; }, easeOutBack: function (x, t, b, c, d, s) { if (s == undefined) s = 1.70158; return c*((t=t/d-1)*t*((s+1)*t + s) + 1) + b; }, easeInOutBack: function (x, t, b, c, d, s) { if (s == undefined) s = 1.70158; if ((t/=d/2) < 1) return c/2*(t*t*(((s*=(1.525))+1)*t - s)) + b; return c/2*((t-=2)*t*(((s*=(1.525))+1)*t + s) + 2) + b; }, easeInBounce: function (x, t, b, c, d) { return c - jQuery.easing.easeOutBounce (x, d-t, 0, c, d) + b; }, easeOutBounce: function (x, t, b, c, d) { if ((t/=d) < (1/2.75)) { return c*(7.5625*t*t) + b; } else if (t < (2/2.75)) { return c*(7.5625*(t-=(1.5/2.75))*t + .75) + b; } else if (t < (2.5/2.75)) { return c*(7.5625*(t-=(2.25/2.75))*t + .9375) + b; } else { return c*(7.5625*(t-=(2.625/2.75))*t + .984375) + b; } }, easeInOutBounce: function (x, t, b, c, d) { if (t < d/2) return jQuery.easing.easeInBounce (x, t*2, 0, c, d) * .5 + b; return jQuery.easing.easeOutBounce (x, t*2-d, 0, c, d) * .5 + c*.5 + b; } });

/*

*
* TERMS OF USE - EASING EQUATIONS
* 
* Open source under the BSD License. 
* 
* Copyright © 2001 Robert Penner
* All rights reserved.
* 
* Redistribution and use in source and binary forms, with or without modification, 
* are permitted provided that the following conditions are met:
* 
* Redistributions of source code must retain the above copyright notice, this list of 
* conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, this list 
* of conditions and the following disclaimer in the documentation and/or other materials 
* provided with the distribution.
* 
* Neither the name of the author nor the names of contributors may be used to endorse 
* or promote products derived from this software without specific prior written permission.
* 
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY 
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
* MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
*  COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
*  EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
*  GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED 
* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
*  NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED 
* OF THE POSSIBILITY OF SUCH DAMAGE. 
*
*/</script>

Welcome to the Teamwiki of the iGEM Aachen in 2014! Cellock Holmes - a case of identity Pathogens on solid surfaces in places where good hygiene is crucial pose a serious threat, since – even after cleaning – these can still be present in dangerous amounts. This is demonstrated by the high number of 3.2 million patients each year that have to be treated due to in the health sector acquired infections. And 37000 of those infections end deadly. The EU estimates that at least 20-30% of those cases would be preventable with an intensive hygiene program. However, for a more effective control these respective pathogens have to be identified. We are developing a system that makes this possible. We are constructing a device with which pathogens can be detected easily, efficiently, effectively and less expensively by utilising genetically modified cells. We focus on a fast response time coupled with an automated analysis. Our project is not only applicable to the detection of pathogens but we are looking to develop it further into a platform for a general 2D detection of nearly any cell or substance. Current techniques vs. Cellock Holmes Current techniques to detect pathogens on surfaces are very time consuming and require expensive equipment as well as trained personnel. We aim to make the detection not only easy to use and fast, but also inexpensive in both frequent use as well as device costs. Additionally we aim to enhance the detection itself. The current methods have a high variability in their assays, especially in low concentrations. Our goal is to not only reduce the variability in the detection, but also reliably detect and quantify pathogen in the low concentration which are only required for these pathogens to be infectious.

Our biological approach In order to detect the pathogens fast, specifically and inexpensively we are building sensor cells to detect these pathogens. These sensor cells can identify pathogens in very low concentration by responsing to specific extracellular molecules either secreted by or displayed on the pathogens. These molecules trigger a fast fluorescence response by our immobilized sensor cells which will be measured by our device. You can follow our molecular approach in more detail by checking out our Biological Part/Labbook

The device Our device Cellock Holmes is designed to be an automated 2D fluorescence analyser. We aim to be able to quickly measure the fluorescence emitted by our sensor cells and automatically analyze the emitted images with our software Measurarty. This will enabel us to reliably detect the amount of CFU (colony forming units) of the pathogens present on the sample. The device will have different Filters for different wavelenghts included to be able to analyze different fluorescent proteins at the same time. To learn more about our device check out Cellock Holmes.