diff --git a/examples/thermo_fischer/jdx/README.md b/examples/thermo_fischer/jdx/README.md
new file mode 100644
index 0000000..208550f
--- /dev/null
+++ b/examples/thermo_fischer/jdx/README.md
@@ -0,0 +1,12 @@
+## WITEC example Raman Multiformat Reader
+This is an example dataset to convert a .txt file
+(exported ASCII file, Si-wafer-Raman-Spectrum-1.txt) with the addition of a ELN
+data file (eln_data.yaml) to a NeXus file.
+
+## How to use
+- 1. Go into the root folder of this repository (default "pynxtools-raman")
+- 2. Copy and paste:
+    ```
+    dataconverter examples/thermo_fischer/jdx/dxr_sucrose780.JDX src/pynxtools_raman/config/config_file_thermo_fischer.json --reader raman --nxdl NXraman --output examples/thermo_fischer/jdx/tfs_example_neuxs.nxs
+    ```
+- 3. A new file should be created at "examples/thermo_fischer/jdx/tfs_example_neuxs.nxs".
\ No newline at end of file
diff --git a/examples/thermo_fischer/jdx/dxr_sucrose780.JDX b/examples/thermo_fischer/jdx/dxr_sucrose780.JDX
new file mode 100644
index 0000000..6d71dd6
--- /dev/null
+++ b/examples/thermo_fischer/jdx/dxr_sucrose780.JDX
@@ -0,0 +1,251 @@
+##TITLE=bogus DXR sucrose 780 for installer testing
+##JCAMP-DX=5.01  $$ Nicolet v. 521
+##DATATYPE=RAMAN SPECTRUM
+##ORIGIN=TFS
+##OWNER=Nicolet
+##LONGDATE=2005/12/14
+##TIME=17:54:26
+##SPECTROMETER/DATA SYSTEM=Almega
+##DATA PROCESSING=
+Wavelength->Wavenumber
+##COMMENTS=
+Number of sample scans: 2
+Collection length: 22.00 sec
+Number of background scans: 32
+Raman laser frequency: 12827.97 cm-1
+Number of rejected sample scans: 0
+Number of rejected background scans: 0
+##XUNITS=RAMAN SHIFT(1/CM)
+##YUNITS=RAMAN INTENSITY
+##FIRSTX=102.020508
+##LASTX=3480.694336
+##FIRSTY=610.938049
+##MAXX=3480.694336
+##MINX=102.020508
+##MAXY=1021.398743
+##MINY=-8.161715
+##XFACTOR=1.000000
+##YFACTOR=1.000000E-05
+##NPOINTS=1753
+##DELTAX=1.928467
+##ZPD=0
+##XYDATA=(X++(Y..Y))
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+##END=
diff --git a/examples/thermo_fischer/jdx/tfs_example_neuxs.nxs b/examples/thermo_fischer/jdx/tfs_example_neuxs.nxs
new file mode 100644
index 0000000..8e22b44
Binary files /dev/null and b/examples/thermo_fischer/jdx/tfs_example_neuxs.nxs differ
diff --git a/examples/thermo_fischer/todo/Standard Raman dispersiv/dxr_sucrose780.ABS b/examples/thermo_fischer/todo/Standard Raman dispersiv/dxr_sucrose780.ABS
new file mode 100644
index 0000000..4045304
Binary files /dev/null and b/examples/thermo_fischer/todo/Standard Raman dispersiv/dxr_sucrose780.ABS differ
diff --git a/examples/thermo_fischer/todo/Standard Raman dispersiv/dxr_sucrose780.CSV b/examples/thermo_fischer/todo/Standard Raman dispersiv/dxr_sucrose780.CSV
new file mode 100644
index 0000000..3375a0e
--- /dev/null
+++ b/examples/thermo_fischer/todo/Standard Raman dispersiv/dxr_sucrose780.CSV	
@@ -0,0 +1,1753 @@
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diff --git a/examples/thermo_fischer/todo/Standard Raman dispersiv/dxr_sucrose780.IRD b/examples/thermo_fischer/todo/Standard Raman dispersiv/dxr_sucrose780.IRD
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diff --git a/examples/thermo_fischer/todo/Standard Raman dispersiv/dxr_sucrose780.WMF b/examples/thermo_fischer/todo/Standard Raman dispersiv/dxr_sucrose780.WMF
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diff --git a/src/pynxtools_raman/config/config_file_thermo_fischer.json b/src/pynxtools_raman/config/config_file_thermo_fischer.json
new file mode 100644
index 0000000..7fd440a
--- /dev/null
+++ b/src/pynxtools_raman/config/config_file_thermo_fischer.json
@@ -0,0 +1,28 @@
+{
+  "/ENTRY[entry]/INSTRUMENT[instrument]/beam_incident/wavelength": "@data:Raman laser wavelength",
+  "/ENTRY[entry]/INSTRUMENT[instrument]/beam_incident/wavelength/@units": "@data:Raman laser wavelength_unit",
+  "/ENTRY[entry]/INSTRUMENT[instrument]/beam_incident/parameter_reliability":"nominal",
+  "/ENTRY[entry]/INSTRUMENT[instrument]/detector_TYPE[detector_ccd]/count_time/@units": "@data:Collection length_unit",
+  "/ENTRY[entry]/INSTRUMENT[instrument]/detector_TYPE[detector_ccd]/count_time": "@data:Collection length",
+  "/ENTRY[entry]/INSTRUMENT[instrument]/detector_TYPE[detector_ccd]/detector_channel_type":"multichannel",
+  "/ENTRY[entry]/INSTRUMENT[instrument]/detector_TYPE[detector_ccd]/DATA[bkg_scan_number]":"@data:Number of background scans",
+  "/ENTRY[entry]/INSTRUMENT[instrument]/detector_TYPE[detector_ccd]/DATA[sample_scan_number]":"@data:Number of sample scans",
+  "/ENTRY[entry]/INSTRUMENT[instrument]/FABRICATION[device_information]/vendor":"Thermo Fisher Scientific",
+  "/ENTRY[entry]/INSTRUMENT[instrument]/FABRICATION[device_information]/model": "@data:##SPECTROMETER/DATA SYSTEM",
+  "/ENTRY[entry]/INSTRUMENT[instrument]/software_TYPE[software_jdx_processing]/program": "@data:##JCAMP-DX",
+  "/ENTRY[entry]/definition/@url": "Remove_this_if_pynxtools_issue_#469_is_solved",
+  "/ENTRY[entry]/experiment_type": "Raman spectroscopy",
+  "/ENTRY[entry]/raman_experiment_type": "other",
+  "/ENTRY[entry]/title": "@data:##TITLE",
+  "/ENTRY[entry]/start_time": "@data:##LONGDATE_AND_TIME",
+  "/ENTRY[entry]/@default": "data",
+  "/ENTRY[entry]/DATA[data]/@signal": "y_values",
+  "/ENTRY[entry]/DATA[data]/y_values": "@data:data_y_averaged_scaled",
+  "/ENTRY[entry]/DATA[data]/y_values/@units": "@data:##YUNITS",
+  "/ENTRY[entry]/DATA[data]/y_values/@long_name": "@data:##YUNITS",
+  "/ENTRY[entry]/DATA[data]/@axes":"x_values_raman",
+  "/ENTRY[entry]/DATA[data]/x_values_raman/@long_name": "@data:##XUNITS",
+  "/ENTRY[entry]/DATA[data]/x_values_raman": "@data:data_x",
+  "/ENTRY[entry]/DATA[data]/x_values_raman/@units": "@data:##XUNITS"
+  }
+
diff --git a/src/pynxtools_raman/reader.py b/src/pynxtools_raman/reader.py
index 5021697..0282053 100644
--- a/src/pynxtools_raman/reader.py
+++ b/src/pynxtools_raman/reader.py
@@ -30,7 +30,7 @@
 from pynxtools_raman.rod.rod_reader import RodParser
 from pynxtools_raman.witec.witec_reader import post_process_witec
 from pynxtools_raman.witec.witec_reader import parse_txt_file
-
+from pynxtools_raman.thermo_fischer.thermo_fischer_reader import parse_jdx_file
 
 logger = logging.getLogger("pynxtools")
 
@@ -60,6 +60,7 @@ def __init__(self, *args, **kwargs):
             ".txt": self.handle_txt_file,
             ".json": self.set_config_file,
             ".rod": self.handle_rod_file,
+            ".jdx": self.handle_jdx_file,
         }
 
     def set_config_file(self, file_path: Path) -> Dict[str, Any]:
@@ -79,6 +80,16 @@ def handle_eln_file(self, file_path: str) -> Dict[str, Any]:
 
         return {}
 
+    def handle_jdx_file(self, filepath) -> Dict[str, Any]:
+        reader_dir = Path(__file__).parent
+        self.config_file = reader_dir.joinpath(
+            "config", "config_file_thermo_fischer.json"
+        )  # pylint: disable=invalid-type-comment
+
+        self.raman_data = parse_jdx_file(filepath)
+        # print(self.raman_data)
+        return {}
+
     def handle_rod_file(self, filepath) -> Dict[str, Any]:
         # specify default config file for rod files
         reader_dir = Path(__file__).parent
diff --git a/src/pynxtools_raman/thermo_fischer/__init__.py b/src/pynxtools_raman/thermo_fischer/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/pynxtools_raman/thermo_fischer/thermo_fischer_reader.py b/src/pynxtools_raman/thermo_fischer/thermo_fischer_reader.py
new file mode 100644
index 0000000..a44f124
--- /dev/null
+++ b/src/pynxtools_raman/thermo_fischer/thermo_fischer_reader.py
@@ -0,0 +1,107 @@
+import numpy as np
+import datetime
+
+
+def parse_jdx_file(filepath):
+    """
+    Read a .txt file from Witec Alpha Raman spectrometer and return a data dictionary
+    which contains Raman shift and Intensity
+    """
+    data_dict = {}
+
+    with open(filepath, "r") as file:
+        data = file.readlines()
+
+    # Separate metadata and measurement data
+    jdx_metadata = []
+    jdx_measurement_data = []
+    is_measurement = False
+
+    for line in data:
+        if line.startswith("##XYDATA"):
+            is_measurement = True
+        elif line.startswith("##END"):
+            is_measurement = False
+        elif not is_measurement:
+            jdx_metadata.append(line.replace("\n", ""))
+        else:
+            jdx_measurement_data.append(line.replace("\n", ""))
+
+    # extract float like measruement data colums:
+    jdx_data_list = []
+
+    for line in jdx_measurement_data:
+        string_list = line.split()
+        float_list = [float(item) for item in string_list]
+        jdx_data_list.append(float_list)
+
+    # Transform: [[A, B], [C, D], [E, F]] into [[A, C, E], [B, D, F]]
+    jdx_data_list = [list(item) for item in zip(*jdx_data_list)]
+
+    column_counter = 0
+    for column in jdx_data_list:
+        if column_counter == 0:
+            data_dict["data_x"] = column
+        if column_counter > 0:
+            data_dict[f"data_y_{column_counter}"] = column
+        column_counter = column_counter + 1
+
+    # extract key value pair from meta data:
+    for i in range(len(jdx_metadata)):
+        # Metadata, always starts with ##
+        if jdx_metadata[i].startswith("##"):
+            key, value = jdx_metadata[i].split("=")
+            data_dict[key] = value
+        # this covers multi-line meta data such as comments or similar. This
+        # is appended to a list and then added to the dictionary
+        else:
+            if key in data_dict and isinstance(data_dict[key], list):
+                data_dict[key].append(jdx_metadata[i])
+            else:
+                data_dict[key] = [jdx_metadata[i]]
+
+    comment = data_dict["##COMMENTS"]
+    for entry in comment:
+        key, value = entry.split(":")
+        unit = None
+        if value.startswith(" "):  # Check if the string starts with a space
+            value = value[1:]
+        if value.find(" ") != -1:
+            value, unit = value.split(" ")
+        if key == "Number of sample scans":
+            data_dict["Number of sample scans"] = int(value)
+        if key == "Collection length":
+            data_dict["Collection length"] = float(value)
+            data_dict["Collection length_unit"] = unit
+        if key == "Number of background scans":
+            data_dict["Number of background scans"] = int(value)
+            data_dict["Number of background scans_unit"] = unit
+        if key == "Raman laser frequency":
+            data_dict["Raman laser wavelength"] = 1e7 / float(value)
+            data_dict["Raman laser wavelength_unit"] = "nm"  # assumed input is 1/cm
+        if key == "Number of rejected sample scans":
+            data_dict["Number of rejected sample scans"] = int(value)
+        if key == "Number of rejected background scans":
+            data_dict["Number of rejected background scans"] = int(value)
+
+    time_date = data_dict["##LONGDATE"]
+    time_hour = data_dict["##TIME"]
+    date_time_oject = datetime.datetime.strptime(
+        f"{time_date} {time_hour}", "%Y/%m/%d %H:%M:%S"
+    )
+    tzinfo = datetime.timezone.utc
+    date_time_oject = date_time_oject.replace(tzinfo=tzinfo)
+    data_dict["##LONGDATE_AND_TIME"] = date_time_oject.isoformat()
+
+    number_y_colums = sum(1 for key in data_dict if "data_y_" in key)
+    y_average = np.zeros(len(data_dict[f"data_x"]))
+
+    for i in range(number_y_colums):
+        y_average = np.array(data_dict[f"data_y_{i+1}"]) + y_average
+
+    raman_counts = (
+        np.array(y_average) / int(number_y_colums) * float(data_dict["##YFACTOR"])
+    ).tolist()
+    data_dict["data_y_averaged_scaled"] = raman_counts
+
+    return data_dict