diff --git a/docs/notebooks/test_memmap.ipynb b/docs/notebooks/test_memmap.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..d4dce936a9afac128cbc575a9aaf1c2e81a02711
--- /dev/null
+++ b/docs/notebooks/test_memmap.ipynb
@@ -0,0 +1,3037 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/s184058/.conda/envs/qim/lib/python3.10/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?\n",
+      "  warn(\n",
+      "astropy module not found\n"
+     ]
+    }
+   ],
+   "source": [
+    "import qim3d\n",
+    "import dxchange\n",
+    "import olefile\n",
+    "import compoundfiles\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import os\n",
+    "import struct\n",
+    "import sys"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "qim3d.io.logger.set_level_info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "txrm_file = 'data/glasfiber_test_4X-40kV-LE3-15s-5p6micro.txrm'\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Offsets are not ascending, some slices are erroneous\n",
+      "Loaded shape: (1601, 1014, 1014)\n",
+      "Using 3.1 GB of memory\n",
+      "Offsets are not ascending, some slices are erroneous\n",
+      "Loaded shape: (1601, 1014, 1014)\n",
+      "Using 80.0 B of memory\n"
+     ]
+    }
+   ],
+   "source": [
+    "vol, _ = qim3d.io.load(txrm_file,virtual_stack=False)\n",
+    "vol_mm, offsets = qim3d.io.load(txrm_file,virtual_stack=True) # return offset temporarily to explore issue"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       " 'ImageData10/Image992': 2052751360,\n",
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+       " 'ImageData10/Image1000': 2073370624,\n",
+       " ...}"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# offsets is a dictionary where all keys are the slice names and values are the corresponding offsets in bytes where the slice begins in the TXRM file (see _get_ole_offsets(ole) function in qim3d.io.load() for details)\n",
+    "offsets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for idx in range(vol.shape[0]):\n",
+    "    if np.any(vol[idx]!=vol_mm[idx]):\n",
+    "        fig,ax = plt.subplots(1,2)\n",
+    "        ax[0].imshow(vol[idx],cmap='gray')\n",
+    "        ax[1].imshow(vol_mm[idx],cmap='gray')\n",
+    "        ax[0].set_title(f'Slice {idx}, memory')\n",
+    "        ax[1].set_title(f'Slice {idx}, memory-map')\n",
+    "\n",
+    "        plt.show()  "
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So two out of 1601 slices are erroneous in this dataset. Let's inspect this further\n",
+    "\n",
+    "# Case 1: slice 1023"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Slice 1021: 2118750208\n",
+      "Slice 1022: 2120814592\n",
+      "Slice 1023: 2091933696\n",
+      "Slice 1024: 2125238272\n",
+      "Slice 1025: 2127298560\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Check offset values of the coresponding slices (check offset of slices before and after as well)\n",
+    "print('Slice 1021:',offsets[list(offsets.keys())[1021]])\n",
+    "print('Slice 1022:',offsets[list(offsets.keys())[1022]])\n",
+    "print('Slice 1023:',offsets[list(offsets.keys())[1023]])\n",
+    "print('Slice 1024:',offsets[list(offsets.keys())[1024]])\n",
+    "print('Slice 1025:',offsets[list(offsets.keys())[1025]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "slice1023._sector_size=4096\n",
+      "slice1023._sectors=array('L', [510725, 518314, 518315, 518316, 518317, 518318, 518319, 518320, 518321, 518322, 518323, 518324, 518325, 518326, 518327, 518328, 518329, 518330, 518331, 518332, 518333, 518334, 518335, 518336, 518337, 518338, 518339, 518340, 518341, 518342, 518343, 518344, 518345, 518346, 518347, 518348, 518349, 518350, 518351, 518352, 518353, 518354, 518355, 518356, 518357, 518358, 518359, 518360, 518361, 518362, 518363, 518364, 518365, 518366, 518367, 518368, 518369, 518370, 518371, 518372, 518373, 518374, 518375, 518376, 518377, 518378, 518379, 518380, 518381, 518382, 518383, 518384, 518385, 518386, 518387, 518388, 518389, 518390, 518391, 518392, 518393, 518394, 518395, 518396, 518397, 518398, 518399, 518400, 518401, 518402, 518403, 518404, 518405, 518406, 518407, 518408, 518409, 518410, 518411, 518412, 518413, 518414, 518415, 518416, 518417, 518418, 518419, 518420, 518421, 518422, 518423, 518424, 518425, 518426, 518427, 518428, 518429, 518430, 518431, 518432, 518433, 518434, 518435, 518436, 518437, 518438, 518439, 518440, 518441, 518442, 518443, 518444, 518445, 518446, 518447, 518448, 518449, 518450, 518451, 518452, 518453, 518454, 518455, 518456, 518457, 518458, 518459, 518460, 518461, 518462, 518463, 518464, 518465, 518466, 518467, 518468, 518469, 518470, 518471, 518472, 518473, 518474, 518475, 518476, 518477, 518478, 518479, 518480, 518481, 518482, 518483, 518484, 518485, 518486, 518487, 518488, 518489, 518490, 518491, 518492, 518493, 518494, 518495, 518496, 518497, 518498, 518499, 518500, 518501, 518502, 518503, 518504, 518505, 518506, 518507, 518508, 518509, 518510, 518511, 518512, 518513, 518514, 518515, 518516, 518517, 518518, 518519, 518520, 518521, 518522, 518523, 518524, 518525, 518526, 518527, 518528, 518529, 518530, 518531, 518532, 518533, 518534, 518535, 518536, 518537, 518538, 518539, 518540, 518541, 518542, 518543, 518544, 518545, 518546, 518547, 518548, 518549, 518550, 518551, 518552, 518553, 518554, 518555, 518556, 518557, 518558, 518559, 518560, 518561, 518562, 518563, 518564, 518565, 518566, 518567, 518568, 518569, 518570, 518571, 518572, 518573, 518574, 518575, 518576, 518577, 518578, 518579, 518580, 518581, 518582, 518583, 518584, 518585, 518586, 518587, 518588, 518589, 518590, 518591, 518592, 518593, 518594, 518595, 518596, 518597, 518598, 518599, 518600, 518601, 518602, 518603, 518604, 518605, 518606, 518607, 518608, 518609, 518610, 518611, 518612, 518613, 518614, 518615, 518616, 518617, 518618, 518619, 518620, 518621, 518622, 518623, 518624, 518625, 518626, 518627, 518628, 518629, 518630, 518631, 518632, 518633, 518634, 518635, 518636, 518637, 518638, 518639, 518640, 518641, 518642, 518643, 518644, 518645, 518646, 518647, 518648, 518649, 518650, 518651, 518652, 518653, 518654, 518655, 518656, 518657, 518658, 518659, 518660, 518661, 518662, 518663, 518664, 518665, 518666, 518667, 518668, 518669, 518670, 518671, 518672, 518673, 518674, 518675, 518676, 518677, 518678, 518679, 518680, 518681, 518682, 518683, 518684, 518685, 518686, 518687, 518688, 518689, 518690, 518691, 518692, 518693, 518694, 518695, 518696, 518697, 518698, 518699, 518700, 518701, 518702, 518703, 518704, 518705, 518706, 518707, 518708, 518709, 518710, 518711, 518712, 518713, 518714, 518715, 518716, 518717, 518718, 518719, 518720, 518721, 518722, 518723, 518724, 518725, 518726, 518727, 518728, 518729, 518730, 518731, 518732, 518733, 518734, 518735, 518736, 518737, 518738, 518739, 518740, 518741, 518742, 518743, 518744, 518745, 518746, 518747, 518748, 518749, 518750, 518751, 518752, 518753, 518754, 518755, 518756, 518757, 518758, 518759, 518760, 518761, 518762, 518763, 518764, 518765, 518766, 518767, 518768, 518769, 518770, 518771, 518772, 518773, 518774, 518775, 518776, 518777, 518778, 518779, 518780, 518781, 518782, 518783, 518784, 518785, 518786, 518787, 518788, 518789, 518790, 518791, 518792, 518793, 518794, 518795, 518796, 518797, 518798, 518799, 518800, 518801, 518802, 518803, 518804, 518805, 518806, 518807, 518808, 518809, 518810, 518811, 518812, 518813, 518814, 518815])\n"
+     ]
+    }
+   ],
+   "source": [
+    "# So offset for slice 1023 seems to start somewhere entirely different than the adjacent slices\n",
+    "# I have found out that all data is placed in so-called sectors that each contains 4096 bytes of data\n",
+    "# Using compoundfiles (newer version of olefile) we can get the indices of each sector of a slice:\n",
+    "comp = compoundfiles.CompoundFileReader(txrm_file)\n",
+    "slice1023 = comp.open(list(offsets.keys())[1023])\n",
+    "print(f'{slice1023._sector_size=}')\n",
+    "print(f'{slice1023._sectors=}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ImageData11/Image1024\n"
+     ]
+    }
+   ],
+   "source": [
+    "# See what the slice index corresponds to:\n",
+    "print(list(offsets.keys())[1023])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "stream=['ImageData1', 'Image1'], sid=1575, size=2056392, sect_start=1090, offset=4468736\n",
+      "stream=['ImageData1', 'Image10'], sid=1584, size=2056392, sect_start=5621, offset=23027712\n",
+      "stream=['ImageData1', 'Image100'], sid=1674, size=2056392, sect_start=50946, offset=208678912\n",
+      "stream=['ImageData1', 'Image11'], sid=1585, size=2056392, sect_start=6125, offset=25092096\n",
+      "stream=['ImageData1', 'Image12'], sid=1586, size=2056392, sect_start=6628, offset=27152384\n",
+      "stream=['ImageData1', 'Image13'], sid=1587, size=2056392, sect_start=7132, offset=29216768\n",
+      "stream=['ImageData1', 'Image14'], sid=1588, size=2056392, sect_start=7635, offset=31277056\n",
+      "stream=['ImageData1', 'Image15'], sid=1589, size=2056392, sect_start=8139, offset=33341440\n",
+      "stream=['ImageData1', 'Image16'], sid=1590, size=2056392, sect_start=8642, offset=35401728\n",
+      "stream=['ImageData1', 'Image17'], sid=1591, size=2056392, sect_start=9147, offset=37470208\n",
+      "stream=['ImageData1', 'Image18'], sid=1592, size=2056392, sect_start=9650, offset=39530496\n",
+      "stream=['ImageData1', 'Image19'], sid=1593, size=2056392, sect_start=10154, offset=41594880\n",
+      "stream=['ImageData1', 'Image2'], sid=1576, size=2056392, sect_start=1594, offset=6533120\n",
+      "stream=['ImageData1', 'Image20'], sid=1594, size=2056392, sect_start=10657, offset=43655168\n",
+      "stream=['ImageData1', 'Image21'], sid=1595, size=2056392, sect_start=11161, offset=45719552\n",
+      "stream=['ImageData1', 'Image22'], sid=1596, size=2056392, sect_start=11664, offset=47779840\n",
+      "stream=['ImageData1', 'Image23'], sid=1597, size=2056392, sect_start=12168, offset=49844224\n",
+      "stream=['ImageData1', 'Image24'], sid=1598, size=2056392, sect_start=12671, offset=51904512\n",
+      "stream=['ImageData1', 'Image25'], sid=1599, size=2056392, sect_start=13175, offset=53968896\n",
+      "stream=['ImageData1', 'Image26'], sid=1600, size=2056392, sect_start=13679, offset=56033280\n",
+      "stream=['ImageData1', 'Image27'], sid=1601, size=2056392, sect_start=14183, offset=58097664\n",
+      "stream=['ImageData1', 'Image28'], sid=1602, size=2056392, sect_start=14686, offset=60157952\n",
+      "stream=['ImageData1', 'Image29'], sid=1603, size=2056392, sect_start=15190, offset=62222336\n",
+      "stream=['ImageData1', 'Image3'], sid=1577, size=2056392, sect_start=2097, offset=8593408\n",
+      "stream=['ImageData1', 'Image30'], sid=1604, size=2056392, sect_start=15693, offset=64282624\n",
+      "stream=['ImageData1', 'Image31'], sid=1605, size=2056392, sect_start=16197, offset=66347008\n",
+      "stream=['ImageData1', 'Image32'], sid=1606, size=2056392, sect_start=16700, offset=68407296\n",
+      "stream=['ImageData1', 'Image33'], sid=1607, size=2056392, sect_start=17206, offset=70479872\n",
+      "stream=['ImageData1', 'Image34'], sid=1608, size=2056392, sect_start=17709, offset=72540160\n",
+      "stream=['ImageData1', 'Image35'], sid=1609, size=2056392, sect_start=18213, offset=74604544\n",
+      "stream=['ImageData1', 'Image36'], sid=1610, size=2056392, sect_start=18716, offset=76664832\n",
+      "stream=['ImageData1', 'Image37'], sid=1611, size=2056392, sect_start=19220, offset=78729216\n",
+      "stream=['ImageData1', 'Image38'], sid=1612, size=2056392, sect_start=19723, offset=80789504\n",
+      "stream=['ImageData1', 'Image39'], sid=1613, size=2056392, sect_start=20227, offset=82853888\n",
+      "stream=['ImageData1', 'Image4'], sid=1578, size=2056392, sect_start=2601, offset=10657792\n",
+      "stream=['ImageData1', 'Image40'], sid=1614, size=2056392, sect_start=20730, offset=84914176\n",
+      "stream=['ImageData1', 'Image41'], sid=1615, size=2056392, sect_start=21234, offset=86978560\n",
+      "stream=['ImageData1', 'Image42'], sid=1616, size=2056392, sect_start=21737, offset=89038848\n",
+      "stream=['ImageData1', 'Image43'], sid=1617, size=2056392, sect_start=22241, offset=91103232\n",
+      "stream=['ImageData1', 'Image44'], sid=1618, size=2056392, sect_start=22744, offset=93163520\n",
+      "stream=['ImageData1', 'Image45'], sid=1619, size=2056392, sect_start=23248, offset=95227904\n",
+      "stream=['ImageData1', 'Image46'], sid=1620, size=2056392, sect_start=23751, offset=97288192\n",
+      "stream=['ImageData1', 'Image47'], sid=1621, size=2056392, sect_start=24255, offset=99352576\n",
+      "stream=['ImageData1', 'Image48'], sid=1622, size=2056392, sect_start=24758, offset=101412864\n",
+      "stream=['ImageData1', 'Image49'], sid=1623, size=2056392, sect_start=25263, offset=103481344\n",
+      "stream=['ImageData1', 'Image5'], sid=1579, size=2056392, sect_start=3104, offset=12718080\n",
+      "stream=['ImageData1', 'Image50'], sid=1624, size=2056392, sect_start=25766, offset=105541632\n",
+      "stream=['ImageData1', 'Image51'], sid=1625, size=2056392, sect_start=26270, offset=107606016\n",
+      "stream=['ImageData1', 'Image52'], sid=1626, size=2056392, sect_start=26773, offset=109666304\n",
+      "stream=['ImageData1', 'Image53'], sid=1627, size=2056392, sect_start=27277, offset=111730688\n",
+      "stream=['ImageData1', 'Image54'], sid=1628, size=2056392, sect_start=27780, offset=113790976\n",
+      "stream=['ImageData1', 'Image55'], sid=1629, size=2056392, sect_start=28284, offset=115855360\n",
+      "stream=['ImageData1', 'Image56'], sid=1630, size=2056392, sect_start=28787, offset=117915648\n",
+      "stream=['ImageData1', 'Image57'], sid=1631, size=2056392, sect_start=29291, offset=119980032\n",
+      "stream=['ImageData1', 'Image58'], sid=1632, size=2056392, sect_start=29795, offset=122044416\n",
+      "stream=['ImageData1', 'Image59'], sid=1633, size=2056392, sect_start=30299, offset=124108800\n",
+      "stream=['ImageData1', 'Image6'], sid=1580, size=2056392, sect_start=3608, offset=14782464\n",
+      "stream=['ImageData1', 'Image60'], sid=1634, size=2056392, sect_start=30802, offset=126169088\n",
+      "stream=['ImageData1', 'Image61'], sid=1635, size=2056392, sect_start=31306, offset=128233472\n",
+      "stream=['ImageData1', 'Image62'], sid=1636, size=2056392, sect_start=31809, offset=130293760\n",
+      "stream=['ImageData1', 'Image63'], sid=1637, size=2056392, sect_start=32314, offset=132362240\n",
+      "stream=['ImageData1', 'Image64'], sid=1638, size=2056392, sect_start=32817, offset=134422528\n",
+      "stream=['ImageData1', 'Image65'], sid=1639, size=2056392, sect_start=33321, offset=136486912\n",
+      "stream=['ImageData1', 'Image66'], sid=1640, size=2056392, sect_start=33824, offset=138547200\n",
+      "stream=['ImageData1', 'Image67'], sid=1641, size=2056392, sect_start=34328, offset=140611584\n",
+      "stream=['ImageData1', 'Image68'], sid=1642, size=2056392, sect_start=34831, offset=142671872\n",
+      "stream=['ImageData1', 'Image69'], sid=1643, size=2056392, sect_start=35334, offset=144732160\n",
+      "stream=['ImageData1', 'Image7'], sid=1581, size=2056392, sect_start=4111, offset=16842752\n",
+      "stream=['ImageData1', 'Image70'], sid=1644, size=2056392, sect_start=35838, offset=146796544\n",
+      "stream=['ImageData1', 'Image71'], sid=1645, size=2056392, sect_start=36341, offset=148856832\n",
+      "stream=['ImageData1', 'Image72'], sid=1646, size=2056392, sect_start=36845, offset=150921216\n",
+      "stream=['ImageData1', 'Image73'], sid=1647, size=2056392, sect_start=37348, offset=152981504\n",
+      "stream=['ImageData1', 'Image74'], sid=1648, size=2056392, sect_start=37852, offset=155045888\n",
+      "stream=['ImageData1', 'Image75'], sid=1649, size=2056392, sect_start=38355, offset=157106176\n",
+      "stream=['ImageData1', 'Image76'], sid=1650, size=2056392, sect_start=38860, offset=159174656\n",
+      "stream=['ImageData1', 'Image77'], sid=1651, size=2056392, sect_start=39363, offset=161234944\n",
+      "stream=['ImageData1', 'Image78'], sid=1652, size=2056392, sect_start=39867, offset=163299328\n",
+      "stream=['ImageData1', 'Image79'], sid=1653, size=2056392, sect_start=40370, offset=165359616\n",
+      "stream=['ImageData1', 'Image8'], sid=1582, size=2056392, sect_start=4614, offset=18903040\n",
+      "stream=['ImageData1', 'Image80'], sid=1654, size=2056392, sect_start=40874, offset=167424000\n",
+      "stream=['ImageData1', 'Image81'], sid=1655, size=2056392, sect_start=41377, offset=169484288\n",
+      "stream=['ImageData1', 'Image82'], sid=1656, size=2056392, sect_start=41881, offset=171548672\n",
+      "stream=['ImageData1', 'Image83'], sid=1657, size=2056392, sect_start=42384, offset=173608960\n",
+      "stream=['ImageData1', 'Image84'], sid=1658, size=2056392, sect_start=42888, offset=175673344\n",
+      "stream=['ImageData1', 'Image85'], sid=1659, size=2056392, sect_start=43391, offset=177733632\n",
+      "stream=['ImageData1', 'Image86'], sid=1660, size=2056392, sect_start=43895, offset=179798016\n",
+      "stream=['ImageData1', 'Image87'], sid=1661, size=2056392, sect_start=44398, offset=181858304\n",
+      "stream=['ImageData1', 'Image88'], sid=1662, size=2056392, sect_start=44902, offset=183922688\n",
+      "stream=['ImageData1', 'Image89'], sid=1663, size=2056392, sect_start=45406, offset=185987072\n",
+      "stream=['ImageData1', 'Image9'], sid=1583, size=2056392, sect_start=5118, offset=20967424\n",
+      "stream=['ImageData1', 'Image90'], sid=1664, size=2056392, sect_start=45911, offset=188055552\n",
+      "stream=['ImageData1', 'Image91'], sid=1665, size=2056392, sect_start=46414, offset=190115840\n",
+      "stream=['ImageData1', 'Image92'], sid=1666, size=2056392, sect_start=46918, offset=192180224\n",
+      "stream=['ImageData1', 'Image93'], sid=1667, size=2056392, sect_start=47421, offset=194240512\n",
+      "stream=['ImageData1', 'Image94'], sid=1668, size=2056392, sect_start=47925, offset=196304896\n",
+      "stream=['ImageData1', 'Image95'], sid=1669, size=2056392, sect_start=48428, offset=198365184\n",
+      "stream=['ImageData1', 'Image96'], sid=1670, size=2056392, sect_start=48932, offset=200429568\n",
+      "stream=['ImageData1', 'Image97'], sid=1671, size=2056392, sect_start=49435, offset=202489856\n",
+      "stream=['ImageData1', 'Image98'], sid=1672, size=2056392, sect_start=49939, offset=204554240\n",
+      "stream=['ImageData1', 'Image99'], sid=1673, size=2056392, sect_start=50442, offset=206614528\n",
+      "stream=['ImageData10', 'Image1000'], sid=2585, size=2056392, sect_start=506193, offset=2073370624\n",
+      "stream=['ImageData10', 'Image901'], sid=2485, size=2056392, sect_start=455334, offset=1865052160\n",
+      "stream=['ImageData10', 'Image902'], sid=2486, size=2056392, sect_start=455837, offset=1867112448\n",
+      "stream=['ImageData10', 'Image903'], sid=2487, size=2056392, sect_start=456341, offset=1869176832\n",
+      "stream=['ImageData10', 'Image904'], sid=2488, size=2056392, sect_start=456844, offset=1871237120\n",
+      "stream=['ImageData10', 'Image905'], sid=2489, size=2056392, sect_start=457348, offset=1873301504\n",
+      "stream=['ImageData10', 'Image906'], sid=2490, size=2056392, sect_start=457851, offset=1875361792\n",
+      "stream=['ImageData10', 'Image907'], sid=2491, size=2056392, sect_start=458355, offset=1877426176\n",
+      "stream=['ImageData10', 'Image908'], sid=2492, size=2056392, sect_start=458858, offset=1879486464\n",
+      "stream=['ImageData10', 'Image909'], sid=2493, size=2056392, sect_start=459362, offset=1881550848\n",
+      "stream=['ImageData10', 'Image910'], sid=2494, size=2056392, sect_start=459865, offset=1883611136\n",
+      "stream=['ImageData10', 'Image911'], sid=2495, size=2056392, sect_start=460369, offset=1885675520\n",
+      "stream=['ImageData10', 'Image912'], sid=2496, size=2056392, sect_start=460873, offset=1887739904\n",
+      "stream=['ImageData10', 'Image913'], sid=2497, size=2056392, sect_start=461377, offset=1889804288\n",
+      "stream=['ImageData10', 'Image914'], sid=2498, size=2056392, sect_start=461880, offset=1891864576\n",
+      "stream=['ImageData10', 'Image915'], sid=2499, size=2056392, sect_start=462384, offset=1893928960\n",
+      "stream=['ImageData10', 'Image916'], sid=2500, size=2056392, sect_start=462887, offset=1895989248\n",
+      "stream=['ImageData10', 'Image917'], sid=2501, size=2056392, sect_start=463391, offset=1898053632\n",
+      "stream=['ImageData10', 'Image918'], sid=2502, size=2056392, sect_start=463894, offset=1900113920\n",
+      "stream=['ImageData10', 'Image919'], sid=2503, size=2056392, sect_start=464398, offset=1902178304\n",
+      "stream=['ImageData10', 'Image920'], sid=2504, size=2056392, sect_start=464901, offset=1904238592\n",
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+      "stream=['ImageData9', 'Image885'], sid=2468, size=2056392, sect_start=447274, offset=1832038400\n",
+      "stream=['ImageData9', 'Image886'], sid=2469, size=2056392, sect_start=447777, offset=1834098688\n",
+      "stream=['ImageData9', 'Image887'], sid=2470, size=2056392, sect_start=448281, offset=1836163072\n",
+      "stream=['ImageData9', 'Image888'], sid=2471, size=2056392, sect_start=448784, offset=1838223360\n",
+      "stream=['ImageData9', 'Image889'], sid=2472, size=2056392, sect_start=449288, offset=1840287744\n",
+      "stream=['ImageData9', 'Image890'], sid=2473, size=2056392, sect_start=449791, offset=1842348032\n",
+      "stream=['ImageData9', 'Image891'], sid=2474, size=2056392, sect_start=450295, offset=1844412416\n",
+      "stream=['ImageData9', 'Image892'], sid=2475, size=2056392, sect_start=450798, offset=1846472704\n",
+      "stream=['ImageData9', 'Image893'], sid=2476, size=2056392, sect_start=451302, offset=1848537088\n",
+      "stream=['ImageData9', 'Image894'], sid=2477, size=2056392, sect_start=451805, offset=1850597376\n",
+      "stream=['ImageData9', 'Image895'], sid=2478, size=2056392, sect_start=452309, offset=1852661760\n",
+      "stream=['ImageData9', 'Image896'], sid=2479, size=2056392, sect_start=452812, offset=1854722048\n",
+      "stream=['ImageData9', 'Image897'], sid=2480, size=2056392, sect_start=453320, offset=1856802816\n",
+      "stream=['ImageData9', 'Image898'], sid=2481, size=2056392, sect_start=453823, offset=1858863104\n",
+      "stream=['ImageData9', 'Image899'], sid=2482, size=2056392, sect_start=454327, offset=1860927488\n",
+      "stream=['ImageData9', 'Image900'], sid=2483, size=2056392, sect_start=454830, offset=1862987776\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Ok, so while all sectors starting from i=1 are incrementing by one index, the first sectors is located a completely different place.\n",
+    "# The problem is that the method used to find the offsets is only returning the offset of the first sector:\n",
+    "import olefile\n",
+    "ole = olefile.OleFileIO(txrm_file)\n",
+    "for stream in ole.listdir():\n",
+    "        if stream[0].startswith('ImageData'):\n",
+    "            sid = ole._find(stream)\n",
+    "            direntry = ole.direntries[sid]\n",
+    "            size = direntry.size\n",
+    "            sect_start = direntry.isectStart\n",
+    "            if size >= ole.minisectorcutoff:\n",
+    "                offset = ole.sectorsize * (sect_start+1)\n",
+    "                print(f\"{stream=}, {sid=}, {size=}, {sect_start=}, {offset=}\")\n",
+    "                # print \"%s: sid=%d, size=%d, sect_start=%d, offset=%X\" % (\n",
+    "                #     repr('/'.join(stream)), sid, size, sect_start, offset)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Scroll up to ImageData10/Image1023 or have a look below at the relevant print output:\n",
+    "\n",
+    "# stream=['ImageData11', 'Image1022'], sid=2608, size=2056392, sect_start=517272, offset=2118750208\n",
+    "# stream=['ImageData11', 'Image1023'], sid=2609, size=2056392, sect_start=517776, offset=2120814592\n",
+    "# stream=['ImageData11', 'Image1024'], sid=2610, size=2056392, sect_start=510725, offset=2091933696\n",
+    "# stream=['ImageData11', 'Image1025'], sid=2611, size=2056392, sect_start=518856, offset=2125238272\n",
+    "# stream=['ImageData11', 'Image1026'], sid=2612, size=2056392, sect_start=519359, offset=2127298560"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# The reason I am stucked with this is that np.memmap only takes one offset and then a shape and datatype so it knows how many bytes it should include starting from the offset\n",
+    "# But for this slice not all bytes are consecutive which causes"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Case 2: slice 1034"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Slice 1021: 2141736960\n",
+      "Slice 1022: 2143797248\n",
+      "Slice 1023: 2145861632\n",
+      "Slice 1024: 2147926016\n",
+      "Slice 1025: 2149990400\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Check offset values of the coresponding slices (check offset of slices before and after as well)\n",
+    "print('Slice 1021:',offsets[list(offsets.keys())[1032]])\n",
+    "print('Slice 1022:',offsets[list(offsets.keys())[1033]])\n",
+    "print('Slice 1023:',offsets[list(offsets.keys())[1034]])\n",
+    "print('Slice 1024:',offsets[list(offsets.keys())[1035]])\n",
+    "print('Slice 1025:',offsets[list(offsets.keys())[1036]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Ok, so the offset does not look particular off in this case"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "slice1034._sector_size=4096\n",
+      "slice1034._sectors=array('L', [523891, 523892, 523893, 523894, 523895, 523896, 523897, 523898, 523899, 523900, 523901, 523902, 523903, 523904, 523905, 523906, 523907, 523908, 523909, 523910, 523911, 523912, 523913, 523914, 523915, 523916, 523917, 523918, 523919, 523920, 523921, 523922, 523923, 523924, 523925, 523926, 523927, 523928, 523929, 523930, 523931, 523932, 523933, 523934, 523935, 523936, 523937, 523938, 523939, 523940, 523941, 523942, 523943, 523944, 523945, 523946, 523947, 523948, 523949, 523950, 523951, 523952, 523953, 523954, 523955, 523956, 523957, 523958, 523959, 523960, 523961, 523962, 523963, 523964, 523965, 523966, 523967, 523968, 523969, 523970, 523971, 523972, 523973, 523974, 523975, 523976, 523977, 523978, 523979, 523980, 523981, 523982, 523983, 523984, 523985, 523986, 523987, 523988, 523989, 523990, 523991, 523992, 523993, 523994, 523995, 523996, 523997, 523998, 523999, 524000, 524001, 524002, 524003, 524004, 524005, 524006, 524007, 524008, 524009, 524010, 524011, 524012, 524013, 524014, 524015, 524016, 524017, 524018, 524019, 524020, 524021, 524022, 524023, 524024, 524025, 524026, 524027, 524028, 524029, 524030, 524031, 524032, 524033, 524034, 524035, 524036, 524037, 524038, 524039, 524040, 524041, 524042, 524043, 524044, 524045, 524046, 524047, 524048, 524049, 524050, 524051, 524052, 524053, 524054, 524055, 524056, 524057, 524058, 524059, 524060, 524061, 524062, 524063, 524064, 524065, 524066, 524067, 524068, 524069, 524070, 524071, 524072, 524073, 524074, 524075, 524076, 524077, 524078, 524079, 524080, 524081, 524082, 524083, 524084, 524085, 524086, 524087, 524088, 524089, 524090, 524091, 524092, 524093, 524094, 524095, 524096, 524097, 524098, 524099, 524100, 524101, 524102, 524103, 524104, 524105, 524106, 524107, 524108, 524109, 524110, 524111, 524112, 524113, 524114, 524115, 524116, 524117, 524118, 524119, 524120, 524121, 524122, 524123, 524124, 524125, 524126, 524127, 524128, 524129, 524130, 524131, 524132, 524133, 524134, 524135, 524136, 524137, 524138, 524139, 524140, 524141, 524142, 524143, 524144, 524145, 524146, 524147, 524148, 524149, 524150, 524151, 524152, 524153, 524154, 524155, 524156, 524157, 524158, 524159, 524160, 524161, 524162, 524163, 524164, 524165, 524166, 524167, 524168, 524169, 524170, 524171, 524172, 524173, 524174, 524175, 524176, 524177, 524178, 524179, 524180, 524181, 524182, 524183, 524184, 524185, 524186, 524187, 524188, 524189, 524190, 524191, 524192, 524193, 524194, 524195, 524196, 524197, 524198, 524199, 524200, 524201, 524202, 524203, 524204, 524205, 524206, 524207, 524208, 524209, 524210, 524211, 524212, 524213, 524214, 524215, 524216, 524217, 524218, 524219, 524220, 524221, 524222, 524223, 524224, 524225, 524226, 524227, 524228, 524229, 524230, 524231, 524232, 524233, 524234, 524235, 524236, 524237, 524238, 524239, 524240, 524241, 524242, 524243, 524244, 524245, 524246, 524247, 524248, 524249, 524250, 524251, 524252, 524253, 524254, 524255, 524256, 524257, 524258, 524259, 524260, 524261, 524262, 524263, 524264, 524265, 524266, 524267, 524268, 524269, 524270, 524271, 524272, 524273, 524274, 524275, 524276, 524277, 524278, 524279, 524280, 524281, 524282, 524283, 524284, 524285, 524287, 524288, 524289, 524290, 524291, 524292, 524293, 524294, 524295, 524296, 524297, 524298, 524299, 524300, 524301, 524302, 524303, 524304, 524305, 524306, 524307, 524308, 524309, 524310, 524311, 524312, 524313, 524314, 524315, 524316, 524317, 524318, 524319, 524320, 524321, 524322, 524323, 524324, 524325, 524326, 524327, 524328, 524329, 524330, 524331, 524332, 524333, 524334, 524335, 524336, 524337, 524338, 524339, 524340, 524341, 524342, 524343, 524344, 524345, 524346, 524347, 524348, 524349, 524350, 524351, 524352, 524353, 524354, 524355, 524356, 524357, 524358, 524359, 524360, 524361, 524362, 524363, 524364, 524365, 524366, 524367, 524368, 524369, 524370, 524371, 524372, 524373, 524374, 524375, 524376, 524377, 524378, 524379, 524380, 524381, 524382, 524383, 524384, 524385, 524386, 524387, 524388, 524389, 524390, 524391, 524392, 524393, 524394])\n"
+     ]
+    }
+   ],
+   "source": [
+    "comp = compoundfiles.CompoundFileReader(txrm_file)\n",
+    "slice1034 = comp.open(list(offsets.keys())[1034])\n",
+    "print(f'{slice1034._sector_size=}')\n",
+    "print(f'{slice1034._sectors=}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
+       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=uint64)"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Nothing obviously wrong to spot here, lets see if all sectors are coherent\n",
+    "np.diff(slice1034._sectors)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f101a526650>"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# AHA! So around 80% into the slice one sector index is skipped. WTF, makes no sense.\n",
+    "# This results in the following, where everything is correct until that particular sector is skipped by one index\n",
+    "plt.imshow(vol[1034]==vol_mm[1034],cmap='gray')"
+   ]
+  }
+ ],
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