diff --git a/docs/examples/data/new_device_calib.xlsx b/docs/examples/data/new_device_calib.xlsx
new file mode 100644
index 0000000..bcaf75c
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diff --git a/docs/examples/data/new_device_kinetic.xlsx b/docs/examples/data/new_device_kinetic.xlsx
new file mode 100644
index 0000000..8dac39c
Binary files /dev/null and b/docs/examples/data/new_device_kinetic.xlsx differ
diff --git a/docs/examples/data/~$20240719_biotek_FDH.V9_0.02enzyme_kinetics.xlsx b/docs/examples/data/~$20240719_biotek_FDH.V9_0.02enzyme_kinetics.xlsx
deleted file mode 100644
index 1ac3755..0000000
Binary files a/docs/examples/data/~$20240719_biotek_FDH.V9_0.02enzyme_kinetics.xlsx and /dev/null differ
diff --git a/docs/examples/data/~$plate_map_SAHH_kinetics.xlsx b/docs/examples/data/~$plate_map_SAHH_kinetics.xlsx
deleted file mode 100644
index 1ac3755..0000000
Binary files a/docs/examples/data/~$plate_map_SAHH_kinetics.xlsx and /dev/null differ
diff --git a/mtphandler/plate_manager.py b/mtphandler/plate_manager.py
index 72c19f0..989c6b0 100644
--- a/mtphandler/plate_manager.py
+++ b/mtphandler/plate_manager.py
@@ -497,6 +497,56 @@ def _assign_species_to_all_except(
                 f" {init_conc} {conc_unit} to all wells except {well_ids}."
             )
 
+    def create_assignment_spreadsheet(
+        self,
+        path: str = "assignment.xlsx",
+    ):
+        """Create an Excel spreadsheet for assigning initial concentrations. The spreadsheet
+        contains a separate sheet for each species defined on the plate, with validation
+        to allow only numerical values in the input cells and prevent changes to all other cells.
+        """
+
+        with pd.ExcelWriter(path, engine="xlsxwriter") as writer:
+            df = pd.DataFrame(
+                index=[chr(65 + i) for i in range(8)],
+                columns=[str(i + 1) for i in range(12)],
+            )
+            df.to_excel(writer, sheet_name="pH", index=True)
+            worksheet = writer.sheets["pH"]
+
+            worksheet.data_validation(
+                "B2:M9",
+                {
+                    "validate": "decimal",
+                    "criteria": "between",
+                    "minimum": 0,
+                    "maximum": 12,
+                    "error_message": "pH must be a numerical value between 0 and 12",
+                },
+            )
+            for species in self.molecules + self.proteins:
+                df = pd.DataFrame(
+                    index=[chr(65 + i) for i in range(8)],
+                    columns=[str(i + 1) for i in range(12)],
+                )
+
+                df.to_excel(writer, sheet_name=species.id, index=True)
+
+                worksheet = writer.sheets[species.id]
+
+                worksheet.data_validation(
+                    "B2:M9",
+                    {
+                        "validate": "decimal",
+                        "criteria": "between",
+                        "minimum": 0,
+                        "maximum": 1e18,
+                        "error_message": "This cell only accepts numerical values",
+                    },
+                )
+
+        print(f"Created assignment spreadsheet at {path}.")
+
     def assign_init_conditions_from_spreadsheet(
         self,
         conc_unit: UnitDefinition,
@@ -1115,6 +1165,43 @@ def read_tekan_magellan(
 
         return cls(**data)
 
+    @classmethod
+    def read_new_device(
+        cls,
+        path: str,
+        temperature: float,
+        ph: float | None = None,
+        name: str | None = None,
+        temperature_unit: UnitDefinition = C,
+    ) -> PlateManager:
+        """Read a `*.xlsx` file exported from a new device and create a PlateManager object.
+
+        Args:
+            path (str): Path to the file.
+            temperature (float): The temperature of the measurements.
+            ph (float | None, optional): The pH value of the measurements. Defaults to None.
+            name (str | None, optional): Name of the plate. Defaults to None.
+            temperature_unit (UnitDefinition, optional): Unit of temperature. Defaults to C.
+
+        Returns:
+            PlateManager: PlateManager object.
+        """
+        from mtphandler.readers import read_new_device as reader
+
+        data: dict[str, Any] = {
+            "plate": reader(
+                path=path,
+                temperature=[temperature],
+                temperature_unit=temperature_unit,
+                ph=ph,
+            )
+        }
+
+        if name is not None:
+            data["name"] = name
+
+        return cls(**data)
+
     @classmethod
     def read_multiskan_sky(
         cls,
@@ -1143,137 +1230,11 @@ def read_multiskan_sky(
 
 
 if __name__ == "__main__":
-    # path = (
-    #     "/Users/max/Documents/GitHub/MTPHandler/docs/examples/data/spectra_max_190.txt"
-    # )
-
-    # pm = PlateManager.read_spectra_max_190(path, ph=6.9)
-    # pm.visualize()
-
-    # pm
-
-    # h1 = pm.get_well("H1")
-
-    # print(h1.id)
-    # print(h1.x_pos)
-    # print(h1.y_pos)
-    # print(h1.measurements[0].absorption[0])
-    # print(h1.measurements[0].absorption[-1])
-
-    # path = "/Users/max/Documents/GitHub/MTPHandler/docs/examples/data/tekan_spark.xlsx"
-    # from mtphandler.model import Plate
-
-    # p = PlateManager.read_tecan_spark(path, 7.4)
-
-    # print(p.plate.temperatures)
-
-    # p.visualize()
-
-    # path = "/Users/max/Documents/GitHub/MTPHandler/docs/examples/data/magellan.xlsx"
-
-    # plate = PlateManager.read_tekan_magellan(path, wavelength=600, ph=7)
-
-    # plate.visualize()
-
-    # path = (
-    #     "/Users/max/Documents/training_course/jules/Spectramax190 molecular Devices.txt"
-    # )
-
-    # from mtphandler.units import mM
-
-    # pm = PlateManager.read_spectra_max_190(path, ph=7)
-    # # pm.visualize()
-    # testo = pm.define_molecule("testo", 60857, "testosterone")
-    # mpi = pm.define_molecule("mpi", 60961, "methylparaben")
-
-    # pm.assign_species(
-    #     species=testo,
-    #     init_conc=0.1,
-    #     conc_unit=mM,
-    #     to="all",
-    # )
-
-    # path = (
-    #     "/Users/max/Documents/GitHub/MTPHandler/docs/examples/data/ BioTek_Epoch2.xlsx"
-    # )
-
-    # from mtphandler.units import mM
-
-    # p = PlateManager.read_biotek(path, ph=7.4)
-    # p.visualize()
-
-    # testo = p.define_molecule("testo", 60857, "testosterone")
-    # aldolase = p.define_protein("aldolase", "Aldolase")
+    path = "docs/examples/data/ BioTek_Epoch2.xlsx"
 
-    # p.assign_init_conditions(
-    #     species=testo,
-    #     init_conc=0.1,
-    #     conc_unit=mM,
-    #     to="all",
-    # )
+    p = PlateManager.read_biotek(path)
+    p.define_molecule("alc", 123)
+    p.define_molecule("ala", 124)
+    p.define_protein("asd", "adfaddf")
 
-    # aldo = p.define_protein("aldolase", "Aldolase")
-    # p.assign_init_conditions(
-    #     species=aldo, init_conc=0.1, conc_unit=mM, to="all", contributes_to_signal=False
-    # )
-
-    # enz = p.to_enzymeml(name="Test EnzymeML", wells_with_protein_only=False)
-
-    # with open("enz.json", "w") as f:
-    #     f.write(enz.model_dump_json(indent=4))
-    # print(len(enz.measurements))
-
-    # from mtphandler.units import C, min
-
-    # path = "docs/examples/data/multiskan_spectrum_1500.txt"
-
-    # ph = 7.0
-    # wavelength = 450.0
-
-    # time = np.arange(0, 15.5, 0.5).tolist()
-    # print(f"the thime is {time}")
-
-    # plate = PlateManager.read_multiskan_spectrum_1500(
-    #     path=path,
-    #     ph=ph,
-    #     time=time,
-    #     time_unit=min,
-    #     temperature=37.0,
-    #     temperature_unit=C,
-    # )
-    # plate.visualize()
-
-    path = (
-        "/Users/max/Documents/GitHub/MTPHandler/docs/examples/data/Multiskan Sky.xlsx"
-    )
-
-    p = PlateManager.read_multiskan_sky(path, ph=None)
-    p.visualize(darkmode=True)
-    print(p)
-
-
-class BlankResult(BaseModel):
-    species_id: str = Field(
-        description="The id of the species for which the blank was calculated.",
-        default=None,
-    )
-    wavelength: float = Field(
-        description="The wavelength at which the blank was calculated.",
-        default=None,
-    )
-    control_well_ids: list[str] = Field(
-        description="The ids of the wells used to calculate the blank.",
-        default=[],
-    )
-    mean_contribution: float = Field(
-        description="The mean contribution of the species to the signal.",
-        default=None,
-    )
-    std_contribution: float = Field(
-        description="The standard deviation of the contribution of the species to the signal.",
-        default=None,
-    )
-    applied_to_well_ids: list[str] = Field(
-        description="The ids of the wells to which the blank was applied.",
-        default=[],
-    )
+    p.create_assignment_spreadsheet()
diff --git a/mtphandler/readers/__init__.py b/mtphandler/readers/__init__.py
index 2aecda4..0c5b8eb 100644
--- a/mtphandler/readers/__init__.py
+++ b/mtphandler/readers/__init__.py
@@ -5,3 +5,4 @@
 from .tekan_magellan import read_tekan_magellan  # noqa
 from .tekan_spark import read_tekan_spark  # noqa
 from .multiskan_sky import read_multiskan_sky  # noqa
+from .new_device import read_new_device  # noqa
diff --git a/mtphandler/readers/new_device.py b/mtphandler/readers/new_device.py
new file mode 100644
index 0000000..2836a40
--- /dev/null
+++ b/mtphandler/readers/new_device.py
@@ -0,0 +1,163 @@
+from __future__ import annotations
+
+import re
+
+import pandas as pd
+
+from mtphandler.model import Plate, UnitDefinition
+from mtphandler.readers.utils import id_to_xy
+from mtphandler.units import second
+
+
+def read_new_device(
+    path: str,
+    ph: float | None,
+    temperature: list[float],
+    temperature_unit: UnitDefinition,
+) -> Plate:
+    pattern = r"\(([A-H][0-9]{2})\)"
+
+    if isinstance(temperature, (int | float)):
+        temperature = [temperature]
+
+    df = pd.read_excel(path)
+
+    wavelength = float(df.iloc[4, 0].split(" ")[1])
+    time_str = df.iloc[1, 0]
+    timestamp = str(pd.to_datetime(time_str, format="%m/%d/%Y %I:%M:%S %p"))
+    name = df.iloc[0, 0]
+
+    # Check for "Reading", "Abs", or "Sample" in the DataFrame
+    if "Reading" in df.values:
+        plate = handle_timecourse_read(
+            df, path, name, timestamp, temperature_unit, wavelength, ph, pattern
+        )
+    elif any(keyword in df.values for keyword in ["Abs", "Sample"]):
+        plate = handle_endpoint_read(
+            df, path, name, timestamp, temperature_unit, wavelength, ph, pattern
+        )
+    else:
+        raise ValueError(
+            "Could not find 'Reading', 'Abs', or 'Sample' in the DataFrame."
+        )
+
+    return plate
+
+
+def handle_timecourse_read(
+    df: pd.DataFrame,
+    path: str,
+    name: str,
+    timestamp: str,
+    temperature_unit: UnitDefinition,
+    wavelength: float,
+    ph: float | None,
+    pattern: str,
+) -> Plate:
+    """Handles the case where 'Reading' is found in the DataFrame."""
+
+    row_number = df[df.iloc[:, 0] == "Reading"].index[0]
+    df = pd.read_excel(path, skiprows=row_number + 1).dropna(axis=0, how="any")
+    time = df.pop("avg. time [s]").values.tolist()
+
+    plate = Plate(
+        name=name,
+        date_measured=timestamp,
+        temperature_unit=temperature_unit,
+    )
+
+    # Iterate over the columns
+    for column in df.columns:
+        match = re.search(pattern, column)
+        if match:
+            well_id = match.group(1)
+            name_id = column.split(" ")[0]
+            x, y = id_to_xy(well_id)
+            well = plate.add_to_wells(
+                id=name_id,
+                x_pos=x,
+                y_pos=y,
+                ph=ph,
+            )
+
+            well.add_to_measurements(
+                wavelength=wavelength,
+                absorption=df[column].values.tolist(),
+                time=time,
+                time_unit=second,
+            )
+
+    return plate
+
+
+def handle_endpoint_read(
+    df: pd.DataFrame,
+    path: str,
+    name: str,
+    timestamp: str,
+    temperature_unit: UnitDefinition,
+    wavelength: float,
+    ph: float | None,
+    pattern: str,
+) -> Plate:
+    """Handles the case where 'Abs' or 'Sample' is found in the DataFrame."""
+
+    absorption_row = df[df.iloc[:, 0] == "Abs"].index[0]
+    sample_row = df[df.iloc[:, 0] == "Sample"].index[0]
+
+    absorption_df = pd.read_excel(
+        path,
+        skiprows=absorption_row + 1,
+        nrows=8,
+        usecols=range(13),
+        index_col=0,
+    )
+
+    sample_df = pd.read_excel(
+        path,
+        skiprows=sample_row + 1,
+        usecols=range(13),
+        nrows=8,
+        index_col=0,
+    )
+
+    plate = Plate(
+        name=name,
+        date_measured=timestamp,
+        temperature_unit=temperature_unit,
+    )
+
+    for row_id in range(8):
+        for column_id in range(12):
+            if pd.isnull(sample_df.iloc[row_id, column_id]) or pd.isnull(
+                absorption_df.iloc[row_id, column_id]
+            ):
+                continue
+            print(sample_df.iloc[row_id, column_id])
+            well = plate.add_to_wells(
+                id=sample_df.iloc[row_id, column_id],
+                x_pos=column_id,
+                y_pos=row_id,
+                ph=ph,
+            )
+
+            well.add_to_measurements(
+                wavelength=wavelength,
+                absorption=[absorption_df.iloc[row_id, column_id]],
+                time=[0],
+                time_unit=second,
+            )
+
+    return plate
+
+
+if __name__ == "__main__":
+    path = "docs/examples/data/new_device_calib.xlsx"
+    from mtphandler.units import C
+
+    plate = read_new_device(
+        path=path,
+        ph=7.4,
+        temperature=[37.0],
+        temperature_unit=C,
+    )
diff --git a/mtphandler/readers/utils.py b/mtphandler/readers/utils.py
index 889e7ac..9427dff 100644
--- a/mtphandler/readers/utils.py
+++ b/mtphandler/readers/utils.py
@@ -10,8 +10,10 @@ def xy_to_id(x: int, y: int) -> str:
 
 
 def id_to_xy(well_id: str) -> tuple[int, int]:
-    """Well ID to well coordinates"""
-    return int(well_id[1:]) - 1, ord(well_id[0].upper()) - 65
+    """Convert well ID (e.g., A01 or A1) to well coordinates"""
+    row = ord(well_id[0].upper()) - 65
+    column = int(well_id[1:]) - 1
+    return column, row
 
     def get_well(self, id: str) -> Well:
         for well in self.plate.wells:
@@ -26,3 +28,6 @@ def get_well(self, id: str) -> Well:
     print(id_to_xy("A1"))
     print(id_to_xy("H12"))
     print(id_to_xy("C3"))
+    print(id_to_xy("A02"))
+    print(id_to_xy("A01"))
+    print(id_to_xy("A11"))
diff --git a/plate_visualization.json b/plate_visualization.json
new file mode 100644
index 0000000..52dcaf9
--- /dev/null
+++ b/plate_visualization.json
@@ -0,0 +1 @@
+{"data":[{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.116],"type":"scatter","xaxis":"x","yaxis":"y"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.1386],"type":"scatter","xaxis":"x2","yaxis":"y2"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.1772],"type":"scatter","xaxis":"x3","yaxis":"y3"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.1791],"type":"scatter","xaxis":"x4","yaxis":"y4"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.1539],"type":"scatter","xaxis":"x5","yaxis":"y5"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.1704],"type":"scatter","xaxis":"x6","yaxis":"y6"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.1283],"type":"scatter","xaxis":"x13","yaxis":"y13"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.1316],"type":"scatter","xaxis":"x14","yaxis":"y14"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.1428],"type":"scatter","xaxis":"x15","yaxis":"y15"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.1251],"type":"scatter","xaxis":"x16","yaxis":"y16"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.146],"type":"scatter","xaxis":"x17","yaxis":"y17"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[3.1377],"type":"scatter","xaxis":"x18","yaxis":"y18"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[2.783],"type":"scatter","xaxis":"x25","yaxis":"y25"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[2.7561],"type":"scatter","xaxis":"x26","yaxis":"y26"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[2.7958],"type":"scatter","xaxis":"x27","yaxis":"y27"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[2.771],"type":"scatter","xaxis":"x28","yaxis":"y28"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[2.7757],"type":"scatter","xaxis":"x29","yaxis":"y29"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[2.7618],"type":"scatter","xaxis":"x30","yaxis":"y30"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 nm","showlegend":false,"x":[0.0],"y":[1.4891],"type":"scatter","xaxis":"x37","yaxis":"y37"},{"hovertemplate":"%{y:.2f}\u003cbr\u003e","line":{"color":"#636EFA"},"mode":"lines","name":"340.0 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diff --git a/tests/unit_tests/test_readers/test_multiscan.py b/tests/unit_tests/test_readers/test_multiscan.py
index 50405ea..0652d74 100644
--- a/tests/unit_tests/test_readers/test_multiscan.py
+++ b/tests/unit_tests/test_readers/test_multiscan.py
@@ -12,7 +12,6 @@
 def test_read_multiskan_spectrum_1500():
     # Arrange
     path = "docs/examples/data/multiskan_spectrum_1500.txt"
-    print(time)
 
     # Act
     plate = read_multiskan_spectrum_1500(
diff --git a/tests/unit_tests/test_readers/test_new_device.py b/tests/unit_tests/test_readers/test_new_device.py
new file mode 100644
index 0000000..e52e8a5
--- /dev/null
+++ b/tests/unit_tests/test_readers/test_new_device.py
@@ -0,0 +1,42 @@
+from mtphandler.readers import read_new_device
+from mtphandler.units import C
+
+
+def test_new_reader_kinetic():
+    path = "docs/examples/data/new_device_kinetic.xlsx"
+
+    plate = read_new_device(
+        path=path,
+        ph=7.4,
+        temperature=[37.0],
+        temperature_unit=C,
+    )
+
+    assert len(plate.wells) == 72
+    assert plate.wells[0].x_pos == 0
+    assert plate.wells[0].y_pos == 0
+    assert plate.wells[0].id == "ArODH0001"
+    assert plate.wells[-1].x_pos == 11
+    assert plate.wells[-1].y_pos == 5
+    assert plate.wells[-1].id == "mODH-582"
+    assert plate.wells[-1].measurements[0].absorption[0] == 0.5626
+    assert plate.wells[-1].measurements[0].absorption[-1] == 0.6376
+
+
+def test_new_reader_endpoint():
+    path = "docs/examples/data/new_device_calib.xlsx"
+
+    plate = read_new_device(
+        path=path,
+        ph=7.4,
+        temperature=[37.0],
+        temperature_unit=C,
+    )
+
+    assert len(plate.wells) == 42
+    assert plate.wells[0].x_pos == 0
+    assert plate.wells[0].y_pos == 0
+    assert plate.wells[0].id == "NADH0001"
+    assert plate.wells[0].measurements[0].absorption[0] == 3.116
+    assert plate.name == "NADH_NADPH_calib.skax"
+    assert plate.date_measured == "2023-08-08 04:06:03"