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      <p bold="true">Digitize an experiment in chromatography</p>
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      <p>The image is a re-transmission from"papers" . The captured image had been cleaned up to possible recognition fromthe digitiser. Seemingly, it representssome chromatograph experiment.</p>
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    <text lang="eng">
      <p>Plug this image in your system,read it back to experiment the digitizer [brute force, but works well for clean data].</p>
    </text>
  </region>
  <region id="9" left="18" top="1062" width="424" height="24" color="#000000" bgColor="#ffffff" fontSize="10">
    <text lang="eng">
      <p>https://www.silkscientific.com/graph-digitizer.htm</p>
    </text>
  </region>
  <region id="10" left="18" top="1098" width="429" height="56" color="#000000" bgColor="#ffffff" fontSize="10">
    <text lang="eng">
      <p>This tool is ultimate in digitising. I never had itbut know from Mathsoft collab working in optics.10 years ago was priced US $ 600, today $US 350.</p>
    </text>
  </region>
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      <p>Alternately, Tracer is a high pro digitiser.You can pre-scale the canvas. As you select point and click to save, it builds up the "Data" of the coordinates. Don't know if "Data" can be transfered to Smath [I doubt]. </p>
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    <math error="0" fractionType="auto" decimalPlaces="6">
      <input>
        <e type="operand">c</e>
        <e type="operand">#</e>
        <e type="function" preserve="true" args="1">cols</e>
        <e type="operand">3</e>
        <e type="operator" args="2">/</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
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    <math error="0" fractionType="auto" decimalPlaces="6">
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        <e type="operand">r</e>
        <e type="operand">#</e>
        <e type="function" preserve="true" args="1">rows</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
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    <math error="0" fractionType="auto" decimalPlaces="6">
      <input>
        <e type="operand">R</e>
        <e type="operand">#</e>
        <e type="operand">1</e>
        <e type="operand">r</e>
        <e type="operand">1</e>
        <e type="operand">c</e>
        <e type="function" preserve="true" args="5">submatrix</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
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    <math error="0" fractionType="auto" decimalPlaces="6">
      <input>
        <e type="operand">G</e>
        <e type="operand">#</e>
        <e type="operand">1</e>
        <e type="operand">r</e>
        <e type="operand">c</e>
        <e type="operand">1</e>
        <e type="operator" args="2">+</e>
        <e type="bracket">(</e>
        <e type="operand">2</e>
        <e type="operand">c</e>
        <e type="operator" args="2">*</e>
        <e type="function" preserve="true" args="5">submatrix</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
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    <math error="0" fractionType="auto" decimalPlaces="6">
      <input>
        <e type="operand">B</e>
        <e type="operand">#</e>
        <e type="operand">1</e>
        <e type="operand">r</e>
        <e type="operand">2</e>
        <e type="operand">c</e>
        <e type="operator" args="2">*</e>
        <e type="operand">1</e>
        <e type="operator" args="2">+</e>
        <e type="bracket">(</e>
        <e type="operand">#</e>
        <e type="function" preserve="true" args="1">cols</e>
        <e type="function" preserve="true" args="5">submatrix</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
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