diff --git a/REQUIRE b/REQUIRE
new file mode 100644
index 00000000..3b0ee32f
--- /dev/null
+++ b/REQUIRE
@@ -0,0 +1,14 @@
+julia 1
+LightGraphs
+MetaGraphs
+DataFrames
+CSV
+BigArrays
+DataStructures
+LsqFit
+OffsetArrays
+ImageFiltering
+Query
+JSON
+NearestNeighbors
+ProgressMeter
diff --git a/src/Utils/SynapseTables.jl b/src/Utils/SynapseTables.jl
index ea8891fd..31b9c2d0 100755
--- a/src/Utils/SynapseTables.jl
+++ b/src/Utils/SynapseTables.jl
@@ -18,7 +18,7 @@ function preprocess(self::SynapseTable, voxelSize::Tuple)
     # this is not working due to a DataFrames bug 
     # https://github.com/JuliaData/DataFrames.jl/issues/1862
     # we need to add true to make it work as old ways...
-	@showprogress 1 "transform datatype to Float32..." for (key, value) in DataFrames.eachcol(self, true)
+	@showprogress 1 "transform datatype to Float32..." for (key, value) in DataFrames.eachcol(self)
 		#if key!=:presyn_wt && key!=:postsyn_wt
 		#	self[key] = round.(Int, value)
         #end
diff --git a/test/Neurons.jl b/test/Neurons.jl
index 0d8cfac9..baf23fdd 100755
--- a/test/Neurons.jl
+++ b/test/Neurons.jl
@@ -142,7 +142,7 @@ end
     println("\nattaching presynapses in DataFrame...")
     # the default reading of CSV is immutable and the dropmissing will fail!
     # https://github.com/JuliaData/DataFrames.jl/issues/1393#issuecomment-500019773
-    preSynapses = CSV.read( joinpath(ASSET_DIR, "$(NEURON_ID).pre.synapses.csv");  copycols=true)
+    preSynapses = CSV.read( joinpath(ASSET_DIR, "$(NEURON_ID).pre.synapses.csv"), DataFrame;  copycols=true)
     @time preSynapses = SynapseTables.preprocess(preSynapses, (5,5,45))
     println("get ", DataFrames.nrow(preSynapses), " synapses.")
     @time Neurons.attach_pre_synapses!(neuron, preSynapses)
@@ -152,7 +152,7 @@ end
     @test numPreSynapses > 2 
     
     println("\nattaching postsynapses in DataFrame...")
-    postSynapses = CSV.read( joinpath(ASSET_DIR, "$(NEURON_ID).post.synapses.csv"); copycols=true) 
+    postSynapses = CSV.read( joinpath(ASSET_DIR, "$(NEURON_ID).post.synapses.csv"), DataFrame; copycols=true) 
     @time postSynapses = SynapseTables.preprocess(postSynapses, (5,5,45))
     println("get ", DataFrames.nrow(postSynapses), " synapses.")
     @time Neurons.attach_post_synapses!(neuron, postSynapses)
diff --git a/test/Synapses.jl b/test/Synapses.jl
index 9d0e726a..668d40f4 100755
--- a/test/Synapses.jl
+++ b/test/Synapses.jl
@@ -5,7 +5,7 @@ using RealNeuralNetworks.Neurons.Segments.Synapses
 
 @testset "test Synapses module" begin 
     df = CSV.read(joinpath(Base.@__DIR__, 
-                           "../asset/77625.pre.synapses.csv"))
+                           "../asset/77625.pre.synapses.csv"), DataFrame)
     synapseList = Vector{Synapse{Float32}}()
     for row in DataFrames.eachrow(df)
         push!(synapseList, Synapse(row))