diff --git a/00-load hls-pixels with dicoms.py b/00-load hls-pixels with dicoms.py
deleted file mode 100644
index 54253a3..0000000
--- a/00-load hls-pixels with dicoms.py	
+++ /dev/null
@@ -1,14 +0,0 @@
-# Databricks notebook source
-# MAGIC %fs ls /Volumes/douglas_moore/pixels_solacc/raw_dicoms
-
-# COMMAND ----------
-
-# Setting up your Volume to read dicom files
-
-# COMMAND ----------
-
-# MAGIC %fs cp -r s3://hls-eng-data-public/dicom/ddsm/ /Volumes/douglas_moore/pixels_solacc/raw_dicoms
-
-# COMMAND ----------
-
-
diff --git a/03-governance-setup.sql b/03-governance-setup.sql
deleted file mode 100644
index ffc8596..0000000
--- a/03-governance-setup.sql
+++ /dev/null
@@ -1,20 +0,0 @@
--- Databricks notebook source
-CREATE OR REPLACE VIEW douglas_moore.pixels_solacc.volume_catalog_vw AS
-SELECT 
-  path,
-  meta,
-  modificationTime,
-  length,
-  relative_path,
-  local_path,
-  extension,
-  path_tags
-FROM `douglas_moore`.`pixels_solacc`.`object_catalog`;
-
--- COMMAND ----------
-
-select * FROM douglas_moore.pixels_solacc.volume_catalog_vw
-
--- COMMAND ----------
-
-
diff --git a/README.md b/README.md
index 58f53ff..1450302 100644
--- a/README.md
+++ b/README.md
@@ -67,7 +67,7 @@ catalog_df = catalog.catalog(path, extractZip=True, extractZipBasePath=<unzipPat
 ```
 ---
 ## OHIF Viewer
-Inside `dbx.pixel` resources folder, a pre-built version of [OHIF Viewer](https://github.com/OHIF/Viewers) with Databricks and [Unity Catalog Volumes](https://docs.databricks.com/en/sql/language-manual/sql-ref-volumes.html) extension is provided. 
+Inside `dbx.pixels` resources folder, a pre-built version of [OHIF Viewer](https://github.com/OHIF/Viewers) with Databricks and [Unity Catalog Volumes](https://docs.databricks.com/en/sql/language-manual/sql-ref-volumes.html) extension is provided. 
 
 All the catalog entries will be available in an easy to use study list.
 ![Catalog](https://github.com/databricks-industry-solutions/pixels/blob/main/images/ohif_catalog_view.png?raw=true)
diff --git a/config/setup.py b/config/setup.py
index bcf97de..05b4c2b 100644
--- a/config/setup.py
+++ b/config/setup.py
@@ -6,7 +6,7 @@
 
 # COMMAND ----------
 
-# MAGIC %pip install --quiet pydicom==2.4.4 s3fs==2022.10.0 python-gdcm==3.0.19 python-magic==0.4.27 git+https://github.com/databricks-industry-solutions/pixels.git 
+# MAGIC %pip install --quiet pydicom==2.4.4 s3fs==2022.10.0 python-gdcm==3.0.19 python-magic==0.4.27 git+https://github.com/databricks-industry-solutions/pixels.git@2.0.0 
 
 # COMMAND ----------
 
diff --git a/dbx/pixels/version.py b/dbx/pixels/version.py
index dc2c5e0..52e9db0 100644
--- a/dbx/pixels/version.py
+++ b/dbx/pixels/version.py
@@ -14,4 +14,4 @@
 # limitations under the License.
 #
 
-__version__ = "0.0.6"
+__version__ = "2.0.0"
diff --git a/dcm-test.py b/dcm-test.py
deleted file mode 100644
index 920c6ca..0000000
--- a/dcm-test.py
+++ /dev/null
@@ -1,223 +0,0 @@
-# Databricks notebook source
-# MAGIC %md ## Setup
-
-# COMMAND ----------
-
-# MAGIC %pip install pydicom s3fs python-gdcm==3.0.19
-
-# COMMAND ----------
-
-# MAGIC %md ### Reload
-
-# COMMAND ----------
-
-# MAGIC %reload_ext autoreload
-# MAGIC %autoreload 2
-
-# COMMAND ----------
-
-dbutils.widgets.text("path", "s3://hls-eng-data-public/dicom/ddsm/", label="1.0 Path to directory tree containing files. /dbfs or s3:// supported")
-dbutils.widgets.text("table", "main.pixels_solacc.object_catalog", label="2.0 Catalog Schema Table to store object metadata into")
-dbutils.widgets.dropdown("mode",defaultValue="overwrite",choices=["overwrite","append"], label="3.0 Update mode on object metadata table")
-
-path = dbutils.widgets.get("path")
-table = dbutils.widgets.get("table")
-write_mode = dbutils.widgets.get("mode")
-
-spark.conf.set('c.table',table)
-print(F"{path}, {table}, {write_mode}")
-
-# COMMAND ----------
-
-# MAGIC %md # Test Imports
-
-# COMMAND ----------
-
-from dbx.pixels import Catalog
-
-# COMMAND ----------
-
-from dbx.pixels.dicom import DicomThumbnailExtractor
-
-# COMMAND ----------
-
-from dbx.pixels.dicom  import DicomFrames
-from dbx.pixels.dicom import DicomMetaExtractor, DicomThumbnailExtractor, DicomPillowThumbnailExtractor, DicomPatcher
-
-# COMMAND ----------
-
-import s3fs
-import pydicom
-
-
-# COMMAND ----------
-
-# MAGIC %fs ls dbfs:/FileStore/BCI
-
-# COMMAND ----------
-
-df = spark.read.format('image').load("dbfs:/FileStore/BCI").limit(10)
-
-# COMMAND ----------
-
-display(df.selectExpr('image.*','len(image.data)'))
-
-# COMMAND ----------
-
-# MAGIC %fs ls dbfs:/
-
-# COMMAND ----------
-
-# MAGIC %md ## Test Plotting
-
-# COMMAND ----------
-
-from dbx.pixels import Catalog
-from dbx.pixels.dicom import DicomFrames
-catalog = Catalog(spark, table=table)
-dcm_df_filtered = catalog.load().filter('meta:img_max < 1000').limit(100)
-
-plots = DicomFrames(dcm_df_filtered, withMeta=True, inputCol="local_path").plot()
-len(plots)
-
-# COMMAND ----------
-
-plots
-
-# COMMAND ----------
-
-plots._files
-
-# COMMAND ----------
-
-from dbx.pixels import dicom_plot_udf
-from pyspark.sql.functions import col
-
-plot_df = (dcm_df_filtered.withColumn(
-                'plot',
-                dicom_plot_udf(col('local_path')))
-)
-display(plot_df)
-
-# COMMAND ----------
-
-plots._get_rows()
-
-# COMMAND ----------
-
-# MAGIC %md # Test Metadata extraction
-
-# COMMAND ----------
-
-from dbx.pixels.dicom import DicomFrames, DicomMetaExtractor # The transformer
-from dbx.pixels import Catalog
-catalog = Catalog(spark, path=path, table=table)
-
-print(catalog.is_anon())
-catalog_df = catalog.load()
-
-# COMMAND ----------
-
-meta = DicomMetaExtractor(catalog)
-meta_df = meta.transform(catalog_df.filter('extension = "dcm"').repartition(1_000))
-display(meta_df.select('meta'))
-
-# COMMAND ----------
-
-# catalog.save(meta_df)
-
-# COMMAND ----------
-
-# MAGIC %md # Test Thumbnail extraction - matplotlilb
-
-# COMMAND ----------
-
-# load metata from the catalog
-
-from dbx.pixels import Catalog
-catalog = Catalog(spark, path=path, table=table)
-dcm_df_filtered = catalog.load().filter('meta:img_max < 1000').repartition(1000).limit(10)
-dcm_df_filtered.count()
-
-# COMMAND ----------
-
-from dbx.pixels.dicom import DicomThumbnailExtractor # The transformer
-thumbnail_df = DicomThumbnailExtractor().transform(dcm_df_filtered)
-display(thumbnail_df)
-
-# COMMAND ----------
-
-from dbx.pixels.dicom import DicomThumbnailExtractor # The transformer
-help(DicomThumbnailExtractor)
-
-# COMMAND ----------
-
-# MAGIC %md # Test DicomPillowThumbnailExtractor
-
-# COMMAND ----------
-
-# load metata from the catalog
-
-from dbx.pixels import Catalog
-catalog = Catalog(spark, path=path, table=table)
-dcm_df_filtered = catalog.load().filter('meta:img_max < 1000').repartition(1000)#.limit(10)
-dcm_df_filtered.count()
-
-# COMMAND ----------
-
-from dbx.pixels.dicom import DicomPillowThumbnailExtractor # The transformer
-help(DicomPillowThumbnailExtractor)
-
-# COMMAND ----------
-
-# to process a batch of 100 images instead 10000 to reduce memory pressure
-spark.conf.set("spark.sql.execution.arrow.maxRecordsPerBatch", "100")
-spark.conf.set("spark.sql.execution.arrow.enabled", "true")
-
-from dbx.pixels.dicom import DicomPillowThumbnailExtractor # The transformer
-thumbnail_df = DicomPillowThumbnailExtractor().transform(dcm_df_filtered)
-display(thumbnail_df)
-
-# COMMAND ----------
-
-# MAGIC %sql
-# MAGIC with k(key) as (select explode(json_object_keys(meta)) from ${c.table})
-# MAGIC select distinct * from k
-# MAGIC order by 1 ASC
-
-# COMMAND ----------
-
-help(DicomPlot)
-
-# COMMAND ----------
-
-dcm_df_filtered.count()
-
-# COMMAND ----------
-
-# DBTITLE 1,Display DICOM browser
-from dbx.pixels import Catalog
-from dbx.pixels.dicom import DicomPlot
-
-catalog = Catalog(spark, table=table)
-dcm_df_filtered = catalog.load().filter('extension == "dcm"').limit(1000)
-DicomPlot(dcm_df_filtered).display()
-
-# COMMAND ----------
-
-# Test Streaming
-from dbx.pixels import Catalog
-from dbx.pixels.dicom import DicomPlot
-from dbx.pixels.dicom import DicomMetaExtractor, DicomThumbnailExtractor
-
-catalog = Catalog(spark, table+"_stream")
-catalog_df = catalog.catalog(path, streaming=True)
-
-meta_df = DicomMetaExtractor(catalog).transform(catalog_df)
-thumbnail_df = DicomThumbnailExtractor().transform(meta_df)
-catalog.save(thumbnail_df)
-
-spark.sql(f"describe {table}_stream")
-spark.sql(f"select * from cloud_files_state('/tmp/pixels_checkpoints/')")
-# COMMAND ----------
-