diff --git a/.travis.yml b/.travis.yml
index 076a027..270fa05 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -5,9 +5,28 @@ sudo: false
 env:
   global:
     - secure: "Y6tBB5CwAxaHPxLzwyyoQKXEwLK68ni8GqzoaYCYbrjLhSFqEDCk6Si7UPmMoED8t7hyxFZofPfEpmOLBoronWUQycnB/K/oxYFfKyEXxNxGpY/iaQk/XCC6rkJ3g863QKdAsgobBgJIClDczZ7leY3RlN+mHfH0wohCBLFAh0E="
+addons:
+  apt:
+    sources:
+      # https://apt.repos.intel.com/setup/intelproducts.list
+      - sourceline: deb https://apt.repos.intel.com/intelpython binary/
+        key_url: https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
+      - sourceline: deb https://apt.repos.intel.com/mkl all main
+        key_url: https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
+      - sourceline: deb https://apt.repos.intel.com/ipp all main
+        key_url: https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
+      - sourceline: deb https://apt.repos.intel.com/tbb all main
+        key_url: https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
+      - sourceline: deb https://apt.repos.intel.com/daal all main
+        key_url: https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
+      - sourceline: deb https://apt.repos.intel.com/mpi all main
+        key_url: https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
+    packages:
+      - intel-mkl-2018.2-046  # needed for tomopy
 
 install:
   - pip install -q -r requirements.txt
+  - pip install scikit-build  # build dep for tomopy 
   - pip install git+https://github.com/tomopy/tomopy
   - ls -alF /home/travis/virtualenv/python3.6.3/lib/
   - export LD_LIBRARY_PATH="/home/travis/virtualenv/python3.6.3/lib/":$LD_LIBRARY_PATH
@@ -15,6 +34,4 @@ install:
 script:
   - set -e
   - make html
-  - pip uninstall -y doctr
-  - pip install git+https://github.com/danielballan/doctr@other-master
   - doctr deploy --deploy-repo NSLS-II/NSLS-II.github.io --deploy-branch-name master .
diff --git a/requirements.txt b/requirements.txt
index c1e9eed..2ff4d26 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -11,7 +11,6 @@ numexpr  # for gallery example
 numpy  # for gallery example
 numpydoc
 ophyd
-pandas  # for tomopy
 path.py
 pillow  # required by sphinx-gallery
 pyepics
diff --git a/source/_cookbook/live_recon.py b/source/_cookbook/live_recon.py
deleted file mode 100644
index 19d8528..0000000
--- a/source/_cookbook/live_recon.py
+++ /dev/null
@@ -1,168 +0,0 @@
-"""
-Streaming Tomographic Reconstruction
-************************************
-
-Problem
--------
-
-Reconstruct a 2D cross-section of a sample from projections, as if it were
-rotated in place in front of a strip detector.
-
-This example uses the library `tomopy <https://tomopy.readthedocs.io>`_.
-
-Approach
---------
-
-Create a simulated detector coupled to a simulated motor, standing in for the
-strip detector and the rotating sample holder. Scan the motor from zero to pi,
-and use tomopy to generate simulated projections of a sample at several angles.
-This provides our simulated dataset.
-
-Now, use tomopy to reconstruct the sample "density" from these projections.
-To give tomopy live access to the data, wrap it in a class that acts as a
-bluesky callback, an interface between tomopy and bluesky's document model.
-
-Also make a callback for visualizing the projections side by side (a sinogram).
-
-Example Solution
-----------------
-"""
-import glob
-import imageio
-import skimage
-import matplotlib.pyplot as plt
-import numpy as np
-
-import tomopy
-
-import bluesky.plans as bp
-from bluesky import RunEngine
-from bluesky.callbacks import LiveTable, CallbackBase
-from bluesky.utils import install_qt_kicker
-from ophyd import Device, Signal, Component as Cpt
-from ophyd.sim import SynAxis, NullStatus
-
-L = 64
-D = int(np.ceil(L * 2**0.5))  # diagonal
-obj = tomopy.cameraman(L)
-orig_obj = np.copy(obj)
-# obj = tomopy.checkerboard(L)
-# obj = tomopy.baboon(L)
-# obj = tomopy.lena(L)
-
-class TomoDet(Device):
-    image = Cpt(Signal)
-    def trigger(self):
-        super().trigger()
-        self.image.put(tomopy.project(obj, angle.read()['angle']['value']))
-        return NullStatus()
-
-det = TomoDet(name='det')
-angle = SynAxis(name='angle')
-
-RE = RunEngine({})
-
-# Do this if running the example interactively;
-# skip it when building the documentation.
-import os
-if 'BUILDING_DOCS' not in os.environ:
-    from bluesky.utils import install_qt_kicker  # for notebooks, qt -> nb
-    install_qt_kicker()
-    plt.ion()
-    angle._fake_sleep = 0.001  # simulate slow motor movement
-
-
-class LiveRecon(CallbackBase):
-    SMALL = 1e-6
-
-    def __init__(self, name, x, y, ax=None, **recon_kwargs):
-        if ax is None:
-            ax = plt.gca()
-        ax.set_title('Reconstruction using Tomopy')
-        ax.set_xlabel('x')
-        ax.set_ylabel('y')
-        self.im = ax.imshow(np.zeros((y, x)), origin='upper')
-        recon_kwargs.setdefault('num_gridx', x)
-        recon_kwargs.setdefault('num_gridy', y)
-        self._name = name
-        self._x, self._y = x, y
-        self._recon_kwargs = recon_kwargs
-
-    def start(self, doc):
-        self._partial = self.SMALL * np.ones((self._y, self._x))
-
-    def event(self, doc):
-        data = doc['data'][self._name]
-        angle = doc['data']['angle']
-        self._partial = tomopy.recon(data, angle, **self._recon_kwargs,
-                                     init_recon=self._partial)
-        self.im.set_data(self._partial)
-        self.im.set_clim((np.min(self._partial), np.max(self._partial)))
-        self.im.figure.canvas.draw_idle()
-
-
-class LiveSinogram(CallbackBase):
-    def __init__(self, name, width, ax=None):
-        if ax is None:
-            ax = plt.gca()
-        ax.set_title('Sinogram')
-        ax.set_xlabel('sequence number')
-        ax.set_ylabel('detector position')
-        self.im = ax.imshow(np.zeros((1, width)), aspect='auto')
-        ax.figure.colorbar(self.im, ax=ax)
-        self._name = name
-        self._width = width
-
-    def start(self, doc):
-        self._cache = []
-
-    def event(self, doc):
-        self._cache.append(doc['data'][self._name][0][0])
-        arr = np.asarray(self._cache)
-        self.im.set_data(arr.T)
-        self.im.set_extent((0, len(self._cache), 0, self._width))
-        self.im.set_clim((arr.min(), arr.max()))
-        self.im.figure.canvas.draw_idle()
-
-
-class LiveRotation(CallbackBase):
-    def __init__(self, x, y, ax=None):
-        if ax is None:
-            ax = plt.gca()
-        ax.axis('off')
-        self.ax = ax
-        self.im = ax.imshow(np.zeros((y, x)), origin='upper')
-        self.im.set_clim((orig_obj[0].min(), orig_obj[0].max()))
-
-    def event(self, doc):
-        angle = doc['data']['angle'] * 180 / np.pi
-        self.ax.set_title(f'Angle: {angle:.2f}°')
-        rotated = skimage.transform.rotate(orig_obj[0], angle, resize=False)
-        self.im.set_data(rotated)
-        self.im.figure.canvas.draw_idle()
-
-
-class LiveSaving(CallbackBase):
-    def __init__(self, fig=None):
-        self._fig = fig
-
-    def event(self, doc):
-        angle = doc['data']['angle']
-        if self._fig:
-            self._fig.savefig(f'recon_{angle:3.3f}.png')
-
-
-fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(18, 6))
-
-lt = LiveTable([angle])
-ls = LiveSinogram(f'{det.name}_image', D, ax=ax1)
-lrt = LiveRotation(L, L, ax=ax2)
-lr = LiveRecon(f'{det.name}_image', L, L, algorithm='art', ax=ax3)
-lsv = LiveSaving(fig=fig)
-
-RE(bp.scan([det], angle, 0, np.pi, 90), [lt, ls, lr, lrt, lsv])
-
-with imageio.get_writer('recon.gif', mode='I') as writer:
-    for fn in sorted(glob.glob('recon_*.png')):
-        image = imageio.imread(fn)
-        writer.append_data(image)