diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..8db40be
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1 @@
+/.luarc.json
diff --git a/_extensions/micrograph/micrograph.lua b/_extensions/micrograph/micrograph.lua
index ea68966..a27a6c5 100644
--- a/_extensions/micrograph/micrograph.lua
+++ b/_extensions/micrograph/micrograph.lua
@@ -1,210 +1,225 @@
-local micrograph = {
-  filter = function(content, params)
-      local src = params.src
-
-      local html = [[
-          <div class="container-wrapper">
-              <div class="canvas-container">
-                  <h2>Red Channel</h2>
-                  <canvas id="redCanvas" width="200" height="200"></canvas>
-                  <div class="slider-container">
-                      <label for="redMax">Max:</label>
-                      <input type="range" id="redMax" min="0" max="255" value="255">
-                      <label for="redMin">Min:</label>
-                      <input type="range" id="redMin" min="0" max="255" value="0">
-                      <label for="redGamma">Gamma:</label>
-                      <input type="range" id="redGamma" min="0.0" max="2.0" step="0.1" value="1.0">
-                      <label for="redGain">Gain:</label>
-                      <input type="range" id="redGain" min="0" max="255" value="0">
-                  </div>
-              </div>
-              <div class="canvas-container">
-                  <h2>Green Channel</h2>
-                  <canvas id="greenCanvas" width="200" height="200"></canvas>
-                  <div class="slider-container">
-                      <label for="greenMax">Max:</label>
-                      <input type="range" id="greenMax" min="0" max="255" value="255">
-                      <label for="greenMin">Min:</label>
-                      <input type="range" id="greenMin" min="0" max="255" value="0">
-                      <label for="greenGamma">Gamma:</label>
-                      <input type="range" id="greenGamma" min="0.0" max="2.0" step="0.1" value="1.0">
-                      <label for="greenGain">Gain:</label>
-                      <input type="range" id="greenGain" min="0" max="255" value="0">
-                  </div>
-              </div>
-              <div class="canvas-container">
-                  <h2>Blue Channel</h2>
-                  <canvas id="blueCanvas" width="200" height="200"></canvas>
-                  <div class="slider-container">
-                      <label for="blueMax">Max:</label>
-                      <input type="range" id="blueMax" min="0" max="255" value="255">
-                      <label for="blueMin">Min:</label>
-                      <input type="range" id="blueMin" min="0" max="255" value="0">
-                      <label for="blueGamma">Gamma:</label>
-                      <input type="range" id="blueGamma" min="0.0" max="2.0" step="0.1" value="1.0">
-                      <label for="blueGain">Gain:</label>
-                      <input type="range" id="blueGain" min="0" max="255" value="0">
-                  </div>
-              </div>
-              <div class="canvas-container" style="vertical-align: top;">
-                  <h2>Original Image</h2>
-                  <canvas id="originalCanvas" width="200" height="200"></canvas>
-              </div>
-          </div>
-
-          <style>
-              .canvas-container {
-                  display: inline-block;
-                  width: 200px; /* Adjust as needed */
-                  margin-right: 20px; /* Adjust as needed */
-              }
-
-              .canvas-container canvas {
-                  max-width: 100%;
-                  height: auto;
-              }
-
-              .slider-container {
-                  margin-top: 10px;
-              }
-          </style>
-      ]]
-
-      local javascript = [[
-          <script>
-              // Function to split image channels
-              function splitChannels(image) {
-                  const dst = new cv.MatVector();
-                  cv.split(image, dst);
-                  const [b, g, r] = [dst.get(0), dst.get(1), dst.get(2)];
-                  return [r, g, b];
-              }
-
-              // Create canvas elements and contexts
-              const redCanvas = document.getElementById('redCanvas');
-              const redCtx = redCanvas.getContext('2d');
-              const greenCanvas = document.getElementById('greenCanvas');
-              const greenCtx = greenCanvas.getContext('2d');
-              const blueCanvas = document.getElementById('blueCanvas');
-              const blueCtx = blueCanvas.getContext('2d');
-              const originalCanvas = document.getElementById('originalCanvas');
-              const originalCtx = originalCanvas.getContext('2d');
-
-              // Declare variables for channel images
-              let redImage, greenImage, blueImage, originalImage;
-
-              // Function to display image on canvas
-              function displayImage(ctx, image) {
-                  const dst = new cv.Mat();
-                  cv.convertScaleAbs(image, dst);
-
-                  // Draw the image directly onto the canvas
-                  ctx.canvas.width = dst.cols;
-                  ctx.canvas.height = dst.rows;
-                  cv.imshow(ctx.canvas, dst);
-
-                  return dst; // Return the created Mat object
-              }
-
-              // Function to load and process image
-              function processImage() {
-                  const imgElement = document.createElement('img');
-                  imgElement.onload = () => {
-                      const srcMat = cv.imread(imgElement);
-                      const [redChannel, greenChannel, blueChannel] = splitChannels(srcMat);
-                      
-                      // Store original images
-                      let originalRed = redChannel.clone();
-                      let originalGreen = greenChannel.clone();
-                      let originalBlue = blueChannel.clone();
-
-                      // Display red channel
-                      redImage = displayImage(redCtx, originalRed);
-
-                      // Display green channel
-                      greenImage = displayImage(greenCtx, originalGreen);
-
-                      // Display blue channel
-                      blueImage = displayImage(blueCtx, originalBlue);
-
-                      // Display original image
-                      originalImage = displayImage(originalCtx, srcMat);
-
-                      // Sliders for adjusting brightness, contrast, gamma, and gain
-                      function updateRedChannel() {
-                          const max = parseInt(document.getElementById('redMax').value);
-                          const min = parseInt(document.getElementById('redMin').value);
-                          const gamma = parseFloat(document.getElementById('redGamma').value);
-                          const gain = parseInt(document.getElementById('redGain').value);
-                          adjustBrightnessContrast(redImage, originalRed, min, max, gamma, gain);
-                          cv.imshow(redCanvas, redImage);
-                          updateOriginalImage();
-                      }
-
-                      function updateGreenChannel() {
-                          const max = parseInt(document.getElementById('greenMax').value);
-                          const min = parseInt(document.getElementById('greenMin').value);
-                          const gamma = parseFloat(document.getElementById('greenGamma').value);
-                          const gain = parseInt(document.getElementById('greenGain').value);
-                          adjustBrightnessContrast(greenImage, originalGreen, min, max, gamma, gain);
-                          cv.imshow(greenCanvas, greenImage);
-                          updateOriginalImage();
-                      }
-
-                      function updateBlueChannel() {
-                          const max = parseInt(document.getElementById('blueMax').value);
-                          const min = parseInt(document.getElementById('blueMin').value);
-                          const gamma = parseFloat(document.getElementById('blueGamma').value);
-                          const gain = parseInt(document.getElementById('blueGain').value);
-                          adjustBrightnessContrast(blueImage, originalBlue, min, max, gamma, gain);
-                          cv.imshow(blueCanvas, blueImage);
-                          updateOriginalImage();
-                      }
-
-                      function updateOriginalImage() {
-                          const mergedChannels = new cv.MatVector();
-                          mergedChannels.push_back(blueImage);
-                          mergedChannels.push_back(greenImage);
-                          mergedChannels.push_back(redImage);
-                          cv.merge(mergedChannels, originalImage);
-                          displayImage(originalCtx, originalImage);
-                          mergedChannels.delete();
-                      }
-
-                      document.getElementById('redMax').addEventListener('input', updateRedChannel);
-                      document.getElementById('redMin').addEventListener('input', updateRedChannel);
-                      document.getElementById('redGamma').addEventListener('input', updateRedChannel);
-                      document.getElementById('redGain').addEventListener('input', updateRedChannel);
-                      document.getElementById('greenMax').addEventListener('input', updateGreenChannel);
-                      document.getElementById('greenMin').addEventListener('input', updateGreenChannel);
-                      document.getElementById('greenGamma').addEventListener('input', updateGreenChannel);
-                      document.getElementById('greenGain').addEventListener('input', updateGreenChannel);
-                      document.getElementById('blueMax').addEventListener('input', updateBlueChannel);
-                      document.getElementById('blueMin').addEventListener('input', updateBlueChannel);
-                      document.getElementById('blueGamma').addEventListener('input', updateBlueChannel);
-                      document.getElementById('blueGain').addEventListener('input', updateBlueChannel);
-                  };
-                  imgElement.src = ']] .. src .. [['; // Replace 'your_image.jpg' with your image file
-              }
-
-              // Function to adjust brightness and contrast using LUT with gamma correction
-              function adjustBrightnessContrast(image, originalImage, min, max, gamma, gain) {
-                  const lut = new cv.Mat(256, 1, cv.CV_8U);
-                  for (let i = 0; i < 256; i++) {
-                      let newValue = Math.pow((i - min) * 1.0 / (max - min), gamma) * 255 + gain;
-                      lut.data[i] = Math.min(Math.max(newValue, 0), 255);
-                  }
-                  cv.LUT(originalImage, lut, image);
-                  lut.delete();
-              }
-
-              // Call the processImage function when the page loads
-              window.onload = processImage;
-          </script>
-      ]]
-
-      return html .. javascript
-  end
-}
-
-return micrograph
+function micrograph(args, kwargs, meta)
+    cmt = meta['show_comments']
+        local src = args[1] or ''
+        local imgWidth = args[2] or '255' -- Default size is 255x255
+        local channelOne = args[3] or 'DAPI'
+        local channelTwo = args[4] or 'Phalloidin'
+        local channelThree = args[5] or 'Alexa647'
+        local html = [[
+            <div class='container-wrapper'>
+                <div class='canvas-container'>
+                    <h6 style="color: blue">]] .. channelOne .. [[</h6>
+                    <canvas id='redCanvas' width=']] .. imgWidth .. [[' height=']] .. imgWidth .. [['></canvas>
+                    <div class='slider-container'>
+                        <label for='redMax'>Max:</label>
+                        <input type='range' id='redMax' min='0' max='255' value='255'>
+                        <label for='redMin'>Min:</label>
+                        <input type='range' id='redMin' min='0' max='255' value='0'>
+                        <label for='redGamma'>Gamma:</label>
+                        <input type='range' id='redGamma' min='0.0' max='2.0' step='0.1' value='1.0'>
+                        <label for='redGain'>Gain:</label>
+                        <input type='range' id='redGain' min='0' max='255' value='0'>
+                    </div>
+                </div>
+                <div class='canvas-container'>
+                    <h6 style="color: green">]] .. channelTwo .. [[</h6>
+                    <canvas id='greenCanvas' width=']] .. imgWidth .. [[' height=']] .. imgWidth .. [['></canvas>
+                    <div class='slider-container'>
+                        <label for='greenMax'>Max:</label>
+                        <input type='range' id='greenMax' min='0' max='255' value='255'>
+                        <label for='greenMin'>Min:</label>
+                        <input type='range' id='greenMin' min='0' max='255' value='0'>
+                        <label for='greenGamma'>Gamma:</label>
+                        <input type='range' id='greenGamma' min='0.0' max='2.0' step='0.1' value='1.0'>
+                        <label for='greenGain'>Gain:</label>
+                        <input type='range' id='greenGain' min='0' max='255' value='0'>
+                    </div>
+                </div>
+                <div class='canvas-container'>
+                    <h6 style="color: red">]] .. channelThree .. [[</h6>
+                    <canvas id='blueCanvas' width=']] .. imgWidth .. [[' height=']] .. imgWidth .. [['></canvas>
+                    <div class='slider-container'>
+                        <label for='blueMax'>Max:</label>
+                        <input type='range' id='blueMax' min='0' max='255' value='255'>
+                        <label for='blueMin'>Min:</label>
+                        <input type='range' id='blueMin' min='0' max='255' value='0'>
+                        <label for='blueGamma'>Gamma:</label>
+                        <input type='range' id='blueGamma' min='0.0' max='2.0' step='0.1' value='1.0'>
+                        <label for='blueGain'>Gain:</label>
+                        <input type='range' id='blueGain' min='0' max='255' value='0'>
+                    </div>
+                </div>
+                <div class='canvas-container' style='vertical-align: top;'>
+                    <h6>Merge</h6>
+                    <canvas id='originalCanvas' width='200' height='200'></canvas>
+                </div>
+            </div>
+
+            <style>
+
+                .canvas-container {
+                    display: inline-block;
+                    width: ]] .. imgWidth .. [[px; /* Adjust as needed */
+                    height: auto; /* Keep aspect ratio */
+                    margin-bottom: 20px; /* Adjust vertical spacing between canvas containers */
+                }
+
+                .canvas-container canvas {
+                    max-width: 100%;
+                    height: auto;
+                }
+    
+                .slider-container {
+                    display: block;
+                    line-height: 0.5;
+                }
+                
+                .slider-container label {
+                    display: block;
+                    text-align: left;
+                    font-size: small;
+                    margin-bottom: 5px; /* Adjust vertical spacing between labels */
+                }
+                
+                .slider-container input[type='range'] {
+                    width: calc(100%);
+                    margin: 0 auto;
+                    margin-bottom: 5px; /* Adjust vertical spacing between input and label */
+                }
+                
+                
+            </style>
+            <script src="https://docs.opencv.org/master/opencv.js"></script>
+            <script>
+                // Function to split image channels
+                function splitChannels(image) {
+                    const dst = new cv.MatVector();
+                    cv.split(image, dst);
+                    const [b, g, r] = [dst.get(0), dst.get(1), dst.get(2)];
+                    return [r, g, b];
+                }
+
+                // Create canvas elements and contexts
+                const redCanvas = document.getElementById('redCanvas');
+                const redCtx = redCanvas.getContext('2d');
+                const greenCanvas = document.getElementById('greenCanvas');
+                const greenCtx = greenCanvas.getContext('2d');
+                const blueCanvas = document.getElementById('blueCanvas');
+                const blueCtx = blueCanvas.getContext('2d');
+                const originalCanvas = document.getElementById('originalCanvas');
+                const originalCtx = originalCanvas.getContext('2d');
+
+                // Declare variables for channel images
+                let redImage, greenImage, blueImage, originalImage;
+
+                // Function to display image on canvas
+                function displayImage(ctx, image) {
+                    const dst = new cv.Mat();
+                    cv.convertScaleAbs(image, dst);
+
+                    // Draw the image directly onto the canvas
+                    ctx.canvas.width = dst.cols;
+                    ctx.canvas.height = dst.rows;
+                    cv.imshow(ctx.canvas, dst);
+
+                    return dst; // Return the created Mat object
+                }
+
+                // Function to load and process image
+                function processImage() {
+                    const imgElement = document.createElement('img');
+                    imgElement.onload = () => {
+                        const srcMat = cv.imread(imgElement);
+                        const [redChannel, greenChannel, blueChannel] = splitChannels(srcMat);
+                        
+                        // Store original images
+                        let originalRed = redChannel.clone();
+                        let originalGreen = greenChannel.clone();
+                        let originalBlue = blueChannel.clone();
+
+                        // Display red channel
+                        redImage = displayImage(redCtx, originalRed);
+
+                        // Display green channel
+                        greenImage = displayImage(greenCtx, originalGreen);
+
+                        // Display blue channel
+                        blueImage = displayImage(blueCtx, originalBlue);
+
+                        // Display original image
+                        originalImage = displayImage(originalCtx, srcMat);
+
+                        // Sliders for adjusting brightness, contrast, gamma, and gain
+                        function updateRedChannel() {
+                            const max = parseInt(document.getElementById('redMax').value);
+                            const min = parseInt(document.getElementById('redMin').value);
+                            const gamma = parseFloat(document.getElementById('redGamma').value);
+                            const gain = parseInt(document.getElementById('redGain').value);
+                            adjustBrightnessContrast(redImage, originalRed, min, max, gamma, gain);
+                            cv.imshow(redCanvas, redImage);
+                            updateOriginalImage();
+                        }
+
+                        function updateGreenChannel() {
+                            const max = parseInt(document.getElementById('greenMax').value);
+                            const min = parseInt(document.getElementById('greenMin').value);
+                            const gamma = parseFloat(document.getElementById('greenGamma').value);
+                            const gain = parseInt(document.getElementById('greenGain').value);
+                            adjustBrightnessContrast(greenImage, originalGreen, min, max, gamma, gain);
+                            cv.imshow(greenCanvas, greenImage);
+                            updateOriginalImage();
+                        }
+
+                        function updateBlueChannel() {
+                            const max = parseInt(document.getElementById('blueMax').value);
+                            const min = parseInt(document.getElementById('blueMin').value);
+                            const gamma = parseFloat(document.getElementById('blueGamma').value);
+                            const gain = parseInt(document.getElementById('blueGain').value);
+                            adjustBrightnessContrast(blueImage, originalBlue, min, max, gamma, gain);
+                            cv.imshow(blueCanvas, blueImage);
+                            updateOriginalImage();
+                        }
+
+                        function updateOriginalImage() {
+                            const mergedChannels = new cv.MatVector();
+                            mergedChannels.push_back(blueImage);
+                            mergedChannels.push_back(greenImage);
+                            mergedChannels.push_back(redImage);
+                            cv.merge(mergedChannels, originalImage);
+                            displayImage(originalCtx, originalImage);
+                            mergedChannels.delete();
+                        }
+
+                        document.getElementById('redMax').addEventListener('input', updateRedChannel);
+                        document.getElementById('redMin').addEventListener('input', updateRedChannel);
+                        document.getElementById('redGamma').addEventListener('input', updateRedChannel);
+                        document.getElementById('redGain').addEventListener('input', updateRedChannel);
+                        document.getElementById('greenMax').addEventListener('input', updateGreenChannel);
+                        document.getElementById('greenMin').addEventListener('input', updateGreenChannel);
+                        document.getElementById('greenGamma').addEventListener('input', updateGreenChannel);
+                        document.getElementById('greenGain').addEventListener('input', updateGreenChannel);
+                        document.getElementById('blueMax').addEventListener('input', updateBlueChannel);
+                        document.getElementById('blueMin').addEventListener('input', updateBlueChannel);
+                        document.getElementById('blueGamma').addEventListener('input', updateBlueChannel);
+                        document.getElementById('blueGain').addEventListener('input', updateBlueChannel);
+                    };
+                    imgElement.src = ']] .. src .. [['; // Set image source dynamically
+                }
+
+                // Function to adjust brightness and contrast using LUT with gamma correction
+                function adjustBrightnessContrast(image, originalImage, min, max, gamma, gain) {
+                    const lut = new cv.Mat(256, 1, cv.CV_8U);
+                    for (let i = 0; i < 256; i++) {
+                        let newValue = Math.pow((i - min) * 1.0 / (max - min), gamma) * 255 + gain;
+                        lut.data[i] = Math.min(Math.max(newValue, 0), 255);
+                    }
+                    cv.LUT(originalImage, lut, image);
+                    lut.delete();
+                }
+
+                // Call the processImage function when the page loads
+                window.onload = processImage;
+            </script>
+        ]]
+        return pandoc.RawBlock('html', html)
+end
diff --git a/example.qmd b/example.qmd
index 1824d3d..80640e5 100644
--- a/example.qmd
+++ b/example.qmd
@@ -1,9 +1,10 @@
 ---
 title: "Micrograph Example"
+author: "John Doe"
+format: revealjs
 ---
 
-## Heading
-
-{{< micrograph MAX_240329_PC3_Rab_Anti_FlagTag_647_E300_I300_Phallodin_594_E100_I500_DAPI_E300_I300_1_MMStack_Pos0.ome.jpg >}}
+## Microscope slide
 
+{{< micrograph ./resources/MAX_240329_PC3_Rab_Anti_FlagTag_647_E300_I300_Phallodin_594_E100_I500_DAPI_E300_I300_1_MMStack_Pos0.ome.jpg 255 DAPI Phalloidin anti-FLAG >}}