PicoLog 6.1.16 is released with the following new features:

  • Improved capture start/pause/reset user interface
  • Added export to HDF5 raw binary data file format
  • Updated core components for overall performance and reliability improvements
  • PicoLog now continues capturing during the saving of a .picolog file (beta)

The following bugs have been fixed:

  • Fixed an issue with Linux app icons not displaying correctly
  • Fixed an issue where graph data didn't display if only math channels are selected

Improved capture start/pause/reset user interface

You spoke, we listened! 

We changed the UI buttons to controls that allow starting, pausing and resetting a capture. It was felt the trash can icon and dialogues warning of "deleting data" was misleading. Now the current capture or configuration is "reset", the icon has changed from a trash can to a circular reset icon. 

Added export to HDF5 raw binary data file format

We’ve added another new feature requested by our PicoLog customers!

PicoLog 6 users requested a way to export raw uncompressed data to applications such as MATLAB for post-capture data analysis. The problem was finding the right file format for PicoLog 6, with support for capturing from up to 20 simultaneous devices or 360 simultaneous channels, at a capture rate of 1 kS/s per channel, it is capable of capturing very large datasets and filling up large hard drives in a matter of days.

We chose the HDF5 file format, or Hierarchical Data Format 5, which is designed to store and organise “Big data”, available under a BSD type license for general use. The freely available HDF distribution consists of the library, command-line utilities, test suite source, Java interface, and the Java-based HDF Viewer (HDFView).

PicoLog 6 can now export in this efficient raw binary format for uses to transport large data sets from PicoLog to their 3rd party application. We’ve produced to examples with videos to demonstrate importing a PicoLog capture using Python and one with MATLAB also.

Updated core components for overall performance, security and reliability improvements

Just some under-the-hood upgrades that make the PicoLog user experience a better one.

PicoLog now continues capturing during the saving of a .picolog file (beta)

With all the performance improvements for PicoLog 6 and faster PCs, PicoLog can now save .picolog files without stopping the capture. However, we can't guarantee the odd dropped sample on very large captures, or with slower machines such as Raspberry Pi. During testing, Raspberry Pi 4B with 2GB RAM dropped one sample during a .picolog file save. This is mainly due to the slower disk I/O on a Pi SD CARD. 

PC requirements
Windows PC Windows 7, 8.x, 10 (32 and 64-bit)
Mac computer From macOS 10.12 (Sierra) or newer
Linux PC Tested on Ubuntu 18.04 LTS or newer (64-bit), and OpenSUSE 15.x or newer (64-bit)

Compatible with Raspbian Buster or newer using Raspberry Pi model 4B.

Note: Also works with model 3B and 3B+ although GUI response time is slower, and we recommend a sampling rate no faster than 1 S/s.

Does not work with Raspbian Stretch or Jessie