Difference between revisions of "Team:NAWI Graz/FlourescenceChamber"

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    <div class="section section-heading container">
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        <h1>FLOURESCENCE MEASUREMENT CHAMBER</h1>
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    <br>
  
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    <div class="section container">
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        <div class="section-text container">
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            <p>
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                A 500 mL lab bottle with GL 80 opening was the main equipment for the reactor. Several holes were drilled into the cap and
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                metal threads placed inside them.
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            </p>
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        </div>
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        <div class="section-image border border-secondary">
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            <img src="" alt="[fmc parts labelled]">
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        </div>
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        <div class="section-image border border-secondary">
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            <img src="" alt="[fmc assembled labelled]">
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        </div>
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        <div class="section-text container">
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            Bacteria are moved into a UV-cuvette inside the measurement chamber of the fluorescence detector. The chamber is a 3D-printed
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            enclosure (see Fig. Xy) with two walls facing each other that house a row of three LED sockets each. In the current
 +
            setup, we only placed three [XXX UV?] LEDs in one wall. The other two opposing walls host camera sockets, to
 +
            one one of which we have attached a RPi-camera, that is controlled by the RPi server. Two optical filters are
 +
            placed inside. A [XXX] filter [do we show their spectral characteristics?] between the UV-LEDs and the cuvette,
 +
            to filter out wavelengths from [XX] to [XX] nm (peak activation of eGFP at ~ XX nm). Between the cuvette and
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            the camera a [XX] filter is inserted to allow only light emitted from activated bacteria through while holding
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            back the rest of the LED-light.
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        </div>
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        <div class="section-text container">
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            The camera is controlled via the Python picamera library and calibrated to maximize the difference between idle and activated
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            bacteria @allFromHof: (see table “camera-settings” or Supplemental Stuff, Zenodo, or nowhere?). The raw RGB-data
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            is recorded, the green channel is kept and cropped to our region of interest---the bacterial suspension. The
 +
            median green intensity of this region is then compared to a threshold [XX] to decipher the bacterial command.
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        </div>
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    </div>
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    <br>
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    <div class="section container">
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        <h2 class="section-sub">Casing</h2>
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        <div class="section-text container">
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            3D-printed bla..
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        <div class="col section-image border border-secondary">
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            <img src="" alt="[messkammer/render_1.png]">
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        <div class="col section-image border border-secondary">
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            <img src="" alt="[messkammer/render_2.png]">
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        </div>
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        <div class="col section-image border border-secondary">
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            <img src="" alt="[messkammer/render_3.png]">
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        </div>
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    </div>
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    <br>
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    <div class="section container">
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        <h2 class="section-sub">LEDs and Optical Filters</h2>
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        <div class="section-text container">
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            because of the expressed fluorescent protein’s spectral characteristics [explain shortly and link to molbio parts], we employ
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            [XXX] nm LEDs to excite [XXX/proteins/chromophores?] and filter… images of LED’s emission spectrum and filter’s
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            absorption curves for temperature experiment… ???
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        </div>
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    </div>
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    <br>
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    <div class="section container">
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        <h2 class="section-sub">Camera and Software</h2>
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        <div class="section-text container">
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            … see “colicam_nu.py” on github/daniel_moser/colibot/server/cam/ … 1 second shutterspeed..
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        </div>
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    </div>
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    <br>
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</html>
 
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Revision as of 13:26, 29 October 2017

FLOURESCENCE MEASUREMENT CHAMBER


A 500 mL lab bottle with GL 80 opening was the main equipment for the reactor. Several holes were drilled into the cap and metal threads placed inside them.

[fmc parts labelled]
[fmc assembled labelled]
Bacteria are moved into a UV-cuvette inside the measurement chamber of the fluorescence detector. The chamber is a 3D-printed enclosure (see Fig. Xy) with two walls facing each other that house a row of three LED sockets each. In the current setup, we only placed three [XXX UV?] LEDs in one wall. The other two opposing walls host camera sockets, to one one of which we have attached a RPi-camera, that is controlled by the RPi server. Two optical filters are placed inside. A [XXX] filter [do we show their spectral characteristics?] between the UV-LEDs and the cuvette, to filter out wavelengths from [XX] to [XX] nm (peak activation of eGFP at ~ XX nm). Between the cuvette and the camera a [XX] filter is inserted to allow only light emitted from activated bacteria through while holding back the rest of the LED-light.
The camera is controlled via the Python picamera library and calibrated to maximize the difference between idle and activated bacteria @allFromHof: (see table “camera-settings” or Supplemental Stuff, Zenodo, or nowhere?). The raw RGB-data is recorded, the green channel is kept and cropped to our region of interest---the bacterial suspension. The median green intensity of this region is then compared to a threshold [XX] to decipher the bacterial command.

Casing

3D-printed bla..
[messkammer/render_1.png]
[messkammer/render_2.png]
[messkammer/render_3.png]

LEDs and Optical Filters

because of the expressed fluorescent protein’s spectral characteristics [explain shortly and link to molbio parts], we employ [XXX] nm LEDs to excite [XXX/proteins/chromophores?] and filter… images of LED’s emission spectrum and filter’s absorption curves for temperature experiment… ???

Camera and Software

… see “colicam_nu.py” on github/daniel_moser/colibot/server/cam/ … 1 second shutterspeed..